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Location: Paris, France 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. À propos du poste Rejoignez l'équipe Customer Success d'Anthropic en tant que Customer Success Manager basé(e) dans la région EMEA, alors que nous façonnons l'avenir de l'adoption de l'IA en entreprise. En tant que Customer Success Manager chez Anthropic, vous serez partenaire stratégique et conseiller de confiance de nos clients les plus complexes dans la zone EMEA, les aidant à exploiter pleinement le potentiel de toutes nos fonctionnalités Claude : API, Claude for Enterprise et Claude Code. Vous développerez de véritables partenariats avec les clients, acquérant une compréhension approfondie de leurs objectifs commerciaux, de leur orientation stratégique, de leur vision en IA et de leurs besoins techniques. Vous ferez appel à la fois à votre sens des affaires et à votre expertise technique pour agir comme conseiller stratégique tout au long de leur parcours chez nous. En partenariat avec l'ensemble de l'équipe chargée des comptes, vous aiderez les clients à identifier les fonctionnalités Claude les mieux adaptées à leurs objectifs commerciaux spécifiques, en travaillant en étroite collaboration avec eux pour leur fournir les meilleures pratiques et des conseils, tout en les aidant dans la croissance et l'évolution de leur utilisation (consommation et base) sur le siège. Votre rôle consiste à aider les clients à adapter efficacement leur utilisation, à mettre en œuvre des stratégies de gestion du changement, à optimiser les cas d'utilisation et à maximiser la valeur de leur investissement en élargissant les cas d'utilisation à l'ensemble de leur organisation. Les informations que vous recueillerez auprès de vos clients serviront directement à définir nos priorités en matière de recherche, de développement et de stratégies de commercialisation, vous permettant de jouer un rôle clé dans la manière dont nous créons et fournissons de la valeur en continu en tant qu'entreprise. En tant que l'un de nos premiers CSM dans la région EMEA, vous serez une pionnière en aidant à mettre en place des processus régionaux, à établir de nouvelles relations avec les clients et en représentant la marque Anthropic dans un marché en forte croissance. Vous travaillerez avec une grande autonomie tout en maintenant un alignement fort avec les équipes mondiales, ce qui requiert une personne qui s'épanouit dans des environnements ambigus et peut travailler efficacement dans différents fuseaux horaires. Responsabilités : Établir des relations de confiance et stratégiques avec les décideurs clés des clients EMEA afin de comprendre leurs activités et leurs objectifs, en identifiant des opportunités d'optimisation et d'expansion Devenir expert des produits Anthropic via API, Claude for Enterprise et Claude Code, en comprenant les nuances techniques et les meilleures pratiques de chacun afin d'orienter les clients vers les bonnes solutions Tirer parti de votre connaissance approfondie du client et des spécificités régionales pour piloter de manière proactive la planification de l'utilisation, en cernant les tendances actuelles et futures en matière de consommation et d'adoption, ainsi que la manière dont celles-ci se traduisent en valeur ajoutée pour le client Surveiller les schémas d'utilisation et identifiez les opportunités d'optimisation, en traitant de manière proactive la sous-utilisation des produits basés sur la consommation (API) et par abonnement (Claude for Enterprise / Claude Code) pour tirer pleinement parti des engagements contractuels Jouer le rôle de partenaire stratégique auprès des clients, en enrichissant leur connaissance des produits Claude grâce à la diffusion de la feuille de route des produits d'Anthropic, en faisant connaître les nouveaux produits et en impliquant les chefs de produit pour qu'ils se fassent le porte-parole des clients de la région EMEA Documenter et quantifier la valeur client réalisée grâce aux résultats commerciaux, au ROI et aux indicateurs d'impact afin de constituer des arguments commerciaux internes convaincants en vue de poursuivre et d'accroître les investissements Identifier les cas d'utilisation potentiels et les secteurs d'activité qui ne sont pas encore exploités, en collaborant avec les clients pour découvrir de nouvelles applications pour Claude au sein des différents services, équipes et flux de travail Élaborer et mettre en œuvre des stratégies de gestion du changement pour favoriser l'adoption par les utilisateurs finaux et maximiser la valeur au sein des organisations clientes, y compris des programmes de formation des formateurs, le développement de centres d'excellence et l'accompagnement organisationnel Gérer l'expérience client tout au long de son cycle de vie : gérer des comptes complets et des plans de réussite fondés sur les objectifs commerciaux du client, réaliser des bilans commerciaux trimestriels et servir de principal intermédiaire entre le client et Anthropic Contribuer au développement de la marque Anthropic et des relations avec la clientèle en tant que membre de la première équipe de service client de la région, en élaborant, si nécessaire, des processus, des guides opérationnels et des bonnes pratiques adaptés à la zone EMEA et tenant compte des cultures d'entreprise régionales Profil recherché : Vous avez plus de 6 ans d'expérience dans des fonctions en contact avec la clientèle (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer ou similaire) Expérience avérée en matière de réussite dans les modèles commerciaux basés sur la consommation et sur la location de places, avec une bonne compréhension des différents leviers de croissance et des indicateurs de performance associés Maîtrise technique et capacité à comprendre et à articuler les concepts d'IA/ML, les intégrations d'API et les modèles de mise en œuvre logicielle Expérience dans la présentation et la démonstration de produits techniques auprès de publics variés Mentalité stratégique pour identifier les opportunités de croissance et les traduire en plans d'expansion concrets Collaborateur polyvalent qui représente le client avec positivité et proactivité, en mobilisant l'ensemble de l'équipe autour de solutions permettant de répondre aux besoins du client Solides compétences en gestion de projet et capacité à gérer plusieurs relations clients Passion pour l'IA et intérêt pour le développement responsable de systèmes avancés Acquérir de l'expérience en travaillant et en contribuant au développement d'une région en pleine croissance, tout en jonglant avec les fuseaux horaires depuis le siège social situé aux États-Unis Un talent pour mettre de l'ordre dans le chaos et une mentalité enthousiaste de « retrousser ses manches ». Vous avez l'esprit d'équipe (Bonus) Maîtrise du français, de l'allemand, de l'espagnol ou de l'italien About the role Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have: 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strong Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality. You are a true team player Fluency in French, Spanish and English 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: €150.000 — €190.000 EUR 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.

Location: San Francisco, CA 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're looking for a Software Engineer to join the team building Claude Security. In this role, you'll take new security capabilities in frontier models and turn them into products that customers can rely on, working across the full stack from early prototype through production. This role sits close to both research and go-to-market. You'll work with researchers on the team to understand what the models can do and where they fall short, and with customers and partners to understand which problems are worth solving for them. You'll be expected to form your own view from both and to own significant pieces of the roadmap, including deciding what not to pursue. The right candidate is a strong generalist engineer with the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Prior security experience is useful but not required; range across the stack and good judgment about what to build matter more. Responsibilities Build and ship user-facing and/or backend features for Claude Security Build the agent loops, tool integrations, and enabling infrastructure for cybersecurity products Collaborate tightly with product managers and go-to-market to understand user needs, shape feature scope, and make informed tradeoffs as you build Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis Collaborate with research teams to identify and develop new model capabilities for security applications You may be a good fit if you: Contribute across the stack, from front-end UI to back-end infrastructure Are proficient in TypeScript, Python, and/or Go and have experience building distributed systems Enjoy fast iteration and are energized by prototyping new ideas Are comfortable working closely with research and go-to-market teams Have strong communication skills and can work effectively across functions Have 7+ years of experience as a software engineer Strong candidates may also have: Experience building client-side terminal applications Experience developing cybersecurity products Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields Experience building skills, plugins, or hooks in Claude Code or similar tools Experience building with Claude Managed Agents or similar frameworks Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $405,000 — $485,000 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.

Location: New York City, NY; San Francisco, CA 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 As a Strategic Account Executive (Asset & Wealth Management) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading asset managers, wealth management firms, and institutional investors. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across asset management, wealth management, and institutional investment organizations. You'll leverage deep A&WM sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into research, portfolio management, client advisory, and operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for A&WM decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across asset managers, wealth managers, and institutional investors, and running the strategies to win them. By driving deployment of Anthropic's emerging products into A&WM enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across asset management, wealth management, and institutional investment organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Research, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate A&WM-specific needs — research, portfolio management, client advisory, operations — into product and roadmap input Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications 5+ years of enterprise sales experience in asset management, wealth management, or institutional investing, with demonstrated success covering buy-side or wealth advisory organizations A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within asset and wealth management Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Driven, coachable, and on a steep growth trajectory Preferred qualifications Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers or wealth management firms Deep familiarity with regulated-industry selling — data governance, fiduciary/compliance-driven procurement, security review, and the governance expectations of buy-side and wealth organizations Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience navigating long, multi-stakeholder enterprise cycles typical of institutional investment and wealth advisory procurement 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: $380,000 — $450,000 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.

Location: San Francisco, CA | New York City, NY 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: As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise Technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API and move their products closer to the frontier, while maintaining our high standards for safety and reliability. Responsibilities: Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success Partner with account executives and Applied AI Architects to translate customer business requirements into technical solutions Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites Lead hands-on technical workshops and code reviews with customer engineering teams Identify common design patterns and contribute insights back to our Product and Engineering teams Create scalable public and internal assets documenting the latest LLM prompting, eval, agentic, and architecture techniques Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks Travel occasionally to customer sites for workshops, implementation support, and building relationships Attend conferences, lead speaking engagements, and write blog posts and white papers on topics surrounding the AI space You may be a good fit if you have: 4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers. Former technical founders are also encouraged to apply. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale Strong programming skills with proficiency in Python or TypeScript and experience building production applications Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity Passion for advancing safe, beneficial AI systems through creative technical applications Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach Please note this role requires 3 days in office per week. Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $200,000 — $320,000 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.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. SOFTWARE ENGINEER, SECURITY Security Engineering builds the foundations that let Sierra deliver powerful AI agents while protecting customer data and trust. We partner across product and platform to make security, privacy, and safety core product capabilities and secure defaults.   WHAT YOU’LL DO Our work spans several security domains. You’ll go deep where your strengths and interests are strongest, with opportunities to explore new areas alongside the team. Build the Foundations of Trust. Design and ship systems that make Sierra’s platform secure by default — spanning agent safety/security, privacy, identity, authentication, authorization, and data security. You’ll work across all layers of production (agents, infrastructure, backend, frontend) to embed security-conscious design into the core of our product. Own Cross-Cutting Systems. Partner with product and platform teams to implement and evolve Sierra’s trust primitives: identity management, access control, auditability, and data lifecycle management. You’ll make pragmatic design trade-offs between usability, performance, and security. Secure Agentic AI Systems. Build controls that ensure AI agents can't leak customer data, execute unauthorized actions, or be manipulated into unintended behavior. Design runtime policy enforcement for tool use, implement safe agent sandboxing, and create boundaries that protect data while keeping agents powerful and useful. Automate and Scale Security-Adjacent Workflows. Create developer-friendly tooling to reduce risk and friction — whether through automating security checks in CI/CD, enforcing privacy boundaries through schema validation, or instrumenting runtime monitoring for sensitive events.   WHAT YOU’LL BRING Strong Software Engineering Skills. Experience building and maintaining production systems. You’re comfortable designing APIs, integrating with authentication or identity frameworks, and thoughtfully using AI-assisted development tools to build, test, and ship high-quality code faster without lowering the quality bar. Security Mindset. You think like a security engineer — considering how data flows, where it’s stored, who can access it, and how to design for least privilege and transparency. Product and Platform Mindset. You care about building secure scalable systems that enable, not block, innovation. You work closely with product teams to make trade-offs clear and help them move quickly without sacrificing trust. Curiosity and Ownership. You take ambiguous, cross-cutting problems from first principles to production and go deep when needed: tracing an authorization decision from agent intent through policy enforcement and downstream effects, or following sensitive data across model context, logs, storage, and tenant boundaries. You define the problem, align partners, ship the solution, and own it in production. EVEN BETTER IF… - You’ve worked on privacy, identity, trust & safety, authN/authz, or data protection systems. - You’ve built security frameworks, libraries, or tooling that developers actually use or integrated security automation into CI/CD pipelines. - You have exposure to AI systems or care about designing secure-by-default LLM applications. - You think like an attacker — you naturally ask "what could go wrong?" when reviewing designs or while building systems. You've found or fixed real security issues in production systems. - You thrive in 0→1 environments, where foundational systems have to balance speed, reliability, and trust.   OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Remote At WooCommerce , we’re on a mission to democratize commerce. Millions of merchants around the world build their businesses with our open-source platform, and we’re scaling how we support them. Specifically, we’re scaling our B2B merchant acquisition efforts and are looking for a Senior Revenue Engineer to help build our Revenue Operations function largely from the ground up. This role goes beyond optimizing what exists today: it involves designing systems, processes, and data foundations that don’t yet fully exist, while ensuring they can scale thoughtfully over time. You’ll partner closely with Sales and Customer Success leadership as a trusted operational and analytical partner, helping establish the foundations that enable clear decision-making, effective execution, and predictable growth. This is a senior individual contributor role with significant ownership and influence. Your work will directly shape how we operate today and how we scale going forward. What You’ll Do First 90 days: Build core dashboards, identify process/data gaps, establish remediation plans. First 180 days: Create capacity and territory models, map the full tech stack and integrations, define the attribution model. First 12 months: Achieve predictable forecasting (within ±10%) and establish a scalable enablement foundation. Day to day, Week to week, Month to month Systems & Data Foundation Own vendor relationships, tools, and integrations (Salesforce, Gong, ChiliPiper, etc.). Establish data quality standards, access controls, and governance practices. Build durable dashboards and ad hoc reporting that clearly answer “where are we vs. target?” Perform ongoing process and data gap analysis, prioritizing practical improvements while keeping long-term scalability in mind. Evaluate and implement technology or process improvements to support revenue growth. CS & Sales Enablement Operationalize CS function: customer health, churn prediction, renewal workflows, escalation paths, expansion playbooks. Create rules of engagement between Sales and CS for complex GTM. Build enablement function infrastructure (topics/process/schedule—not training delivery). Strategic Revenue Support Build tracking for strategic/payment partner merchants critical to NRR. Analyze performance trends to guide strategy: win/loss, deal cycle length, seasonality, retention, segmentation bands, and customer bands. Create capacity planning models based on pipeline velocity and customer growth. Territory planning, quota setting, and compensation administration. Support pricing and packaging changes with data and tracking. Support mid-funnel pipeline reviews and Sales/CS QBRs. Identify and surface GTM and CS inefficiencies through data analysis. Build merchant health scoring, expansion potential tracking, and red-to-green workflows. Design reporting that gives executives visibility, managers clarity, and reps actionable insights—from pipeline health to forecasting accuracy. You Might Be a Fit If You’ve built RevOps from scratch (6–8+ years of experience, including at least one 0→1 build or major foundation reset). You’re deeply data-driven , with a mindset of “if the data isn’t there, how do we get it?” You’re comfortable speaking truth to power , using data to surface trade-offs and inform decisions, even when conversations are uncomfortable. AI is a strength, not a buzzword —you can point to concrete examples of how you use it in your current role. You’re hands-on technically , with strong Salesforce experience (flows, integrations) and comfort working with data (e.g. SQL or Python), not just point-and-click tooling. You know the RevOps tooling landscape , and have good judgment about what actually works at scale. You’re pragmatic and intentional , balancing short-term fixes with longer-term system design. You can partner as an equal with revenue leaders , and communicate data-backed insights clearly to executive stakeholders. What Good Looks Like You can answer “where are we vs. Sales and CS targets?” quickly using trusted data. Executives rely on ELT-ready dashboards that communicate complex business simply. Core metrics (NRR, CAC, LTV, ASP, time to close, close rates) are clearly defined with documented data sources. We are currently prioritizing candidates who reside in the Americas or Europe / Africa. Salary range: $140,000-$200,000 USD. Please note that salary ranges are global, regardless of location, and we pay in local currency. We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated. This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy . To see a full list of benefits by country, consult our Benefits Page . And check out these links to learn more about How We Hire and What We Expect from Ourselves . #LI-DNI About Automattic Now in our 20th year , we’re the people behind WordPress.com , WooCommerce , Beeper , Tumblr , Simplenote , Jetpack , Longreads , Day One , PocketCasts , and more. We believe in making the web a better place. We’re a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world. We believe in Open Source , and the vast majority of our work is available under the GPL . Automattic is a Most Loved Company , an Equal Opportunity employer, and Disability Confident Committed . ( Here’s what that might mean for you .) If you need accommodations during the application or interview process, please fill out this form . We are committed to ensuring an accessible hiring process for all candidates. Learn more about our Employee Resource Groups . You can track your application status and more at MyGreenhouse . To learn about how we handle your data, please review our Job Applicant & Candidate Privacy Notice and our Privacy Policy . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the “Know Your Rights: Workplace Discrimination is Illegal” poster here . Automattic participates in the E-Verify program in certain locations, as required by law .

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role The Product Manager, Integrations you will have ownership of a portfolio connectors and analytical use cases at Fivetran. Your vision, execution, and collaboration towards business-critical goals creates successful products that make analysts more productive and look like superheroes to their teams. This is a full-time position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. The successful candidate must be able to work with overlap with US EST and PST time zones. What You’ll Do Manage a portfolio of products and contribute to strategic decisions on growing and improving that portfolio, including optimizing revenue. Build the vision, strategy and roadmap for your portfolio. Learn what questions analysts are trying to answer, decide what data sources they need and design great data schemas to drive analytical success. Ensure we prioritize the most important product improvements. Collaborate with analytics to create reporting and ad hoc analysis using the data available and in collaboration with our key business partners. Work directly with multiple engineering teams and our operations teams to ensure Fivetran is delivering the highest quality data possible. Your guiding metric will be the Revenue Weighted Usage of your portfolio of products. You will play a key role in the growing and adoption of Fivetran's SaaS Connector Portfolio Skills We’re Looking For Strong SQL skills Previous experience working as a product manager preferably for B2B SaaS products Proven track record of shipping data products that deliver measurable results. Proven ability to develop deep customer empathy and articulate customer problems. Demonstrated experience using data and analytical abilities to help solve problems and make decisions. Demonstrated ability to effectively collaborate with a talented team of engineers and designers. Excellent written and verbal interpersonal skills with a confirmed ability to influence partners. High technical and analytical acumen. Embody team values of Curiosity, Ownership, Collaboration, Kindness, and Integrity A deep sense of empathy for the customer, ensuring that all solutions are customer-focused and deliver significant value. #LI-HYBRID #LI-KM3 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $181,670.83 — $218,013.71 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, CA | New York City, NY 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 As a Strategic Account Executive (Banking) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading retail and commercial banks. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across retail banking, commercial banking, and consumer finance organizations. You'll leverage deep banking sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into customer service, underwriting, risk, and back-office operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for retail and commercial banking decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across retail and commercial banks, and running the strategies to win them. By driving deployment of Anthropic's emerging products into banking enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across retail banking, commercial banking, and consumer finance organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Risk, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate retail and commercial banking needs — customer service, underwriting, risk, operations — into product and roadmap input Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications 5+ years of enterprise sales experience in retail or commercial banking, with demonstrated success covering bank or consumer finance organizations A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within retail and commercial banking Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large retail or commercial banks Deep familiarity with regulated-industry selling — data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of banking organizations Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience navigating long, multi-stakeholder enterprise cycles typical of banking procurement 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: $380,000 — $450,000 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.

Location: Shenzhen / Dongguan / Guangzhou / Foshan Workplace: onsite Ajax Systems is looking for an experienced Mechanical Engineer to join our team.   Ajax Systems is a developer and manufacturer of advanced security systems with smart home capabilities. We are a full-cycle product company from idea and engineering to mass production. Our portfolio includes 70+ devices that protect properties from intrusion, fire, and flooding, while also enabling smart control of electrical appliances.   Today, Ajax Systems protects over 2 million users in 169 countries worldwide and has received Europe’s highest security awards. We are proud to be a Ukrainian success story, a company driven by innovation, resilience, and strong engineering culture. Key Tasks: Complete lifecycle design of plastic enclosures and mechanical assemblies for consumer electronics. Development of DFM- and DFH-oriented solutions considering mass production processes (plastic injection molding, assembly, sealing, serviceability). Collaboration with hardware and embedded engineers, industrial designers, technologists, quality control, and manufacturing departments. Design of ergonomic, intuitive solutions adaptable to different operating environments. Preparation of production transfer documentation (2D drawings, specifications, technical requirements, 3D models for molds). Support of mold development and approval of modifications after initial mold trials (T0–T2), including defect analysis. Participation in testing and feedback from prototypes and production, incorporating design improvements. Verification of engineering compliance of the finished product with expected technical parameters (stiffness, assembly, weight, IP protection). Oversight of the product lifecycle from concept to mass production, including cost analysis and assessment of the impact of design decisions on production costs. Communication with Chinese factories: technical specifications, drawing reviews, change control, feedback on prototypes and production samples. Assessment of manufacturing risks in China: equipment limitations, mold quality, shrinkage, production tolerances, and the influence of packaging and logistics on design. Inspection of samples from China: defect analysis (shrinkage, warping, poor casting), initial product assembly, and reporting with recommendations. Consideration of potential scaling difficulties in China: timeline tracking, mold duplication, and price optimization. Continuous communication via email, video calls, document comments (in English), and participation in editing specifications based on feedback from the Chinese side. Technical Knowledge and Skills: 🧩 3D Modeling & Design: SolidWorks (95% solid modeling, 5% surface modeling), basic sheet metal modeling knowledge. Creation of precise assemblies, constraints, tolerance verification, and preparation of models for molding production. Ability to break down complex projects into sub-units, using reference geometry and configurations. 🏭 DFM / DFA / Manufacturing: Knowledge of mold design: opening directions, gating points, parting lines, risks of short shots/air pockets. Optimization for scalability and cost reduction (minimize part count, reduce weld lines, shorten cycle time). Experience working with factories in Ukraine and China; understanding of the mold lifecycle; participation in modifications after T1/T2. Basics of metal processing technologies: bending, stamping, laser cutting, milling for internal frames and auxiliary parts. Understanding of Chinese manufacturers’ practices: interpretation of drawings, overlooked details, confirmation processes. Understanding of the Chinese production structure: project managers, engineers, suppliers. Active participation in mold development discussions: steel selection, cost estimation, gating points, parting lines. Familiarity with typical Chinese documentation formats: PDFs, STEP files, Excel specifications, compressed archives, WeTransfer/Alibaba Cloud. 🧪 Testing & Prototyping: Manual inspection, assembly, and analysis of critical nodes. Identifying and resolving sealing, play, and fit issues. Skilled in the use of measuring tools: calipers, micrometers, gauges, etc. 🧠 Materials Science & Standards: Properties of ABS, PC, PC+ABS, PA+GF, TPE, and TPU: shrinkage, impact strength, heat resistance, and elasticity. Understanding material behavior during production and operation (temperature, humidity, UV). Balancing cost, quality, and manufacturability when selecting materials. ⚙️ Functional Elements: Development of fasteners, clips, guides, seals, TPE/TPU elements, and mounting slots. Design of interface elements: buttons, indicators, light guides, ports, and ventilation openings. Knowledge of sealing methods and IP protection standards (IP54–IP67), heat dissipation, and battery compartment design. Considering Chinese factory constraints: wall thickness, micro gaps, welding, and assembly limitations. Designing for high repairability and ease of assembly in outsourced Chinese facilities. 📄 Documentation & Production Support: Generation of complete documentation bundles: 2D outlines, tolerance tables, BOMs, assembly specifications. Implementation of changes based on prototype or production feedback. Participation in preparing technical descriptions for QC, assembly instructions, and design documentation control. 🌐 Communication & Tools: English B2+ level – oral and written technical communication with Chinese suppliers. Experience in communication with Chinese engineers, managers, and production teams (via Alibaba, WeChat, email, video calls). Knowledge of Chinese business communication nuances: importance of confirmations, repetitions, and visual examples. Use of SolidWorks PDM, Excel, Google Docs, Asana/Trello/Notion for project management.

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Senior AI Engineer with strong LLM and product engineering experience to join our AI Platform team and help ship the AI-driven features across our app — including personalized in-app content recommendations, conversational AI-powered insights, and AI-generated mobile push notifications. You will focus on the product-facing behavior of our GenAI features (relevance, quality, latency, and safety), using the platform’s judges, fine-tuning pipelines, and evaluation tools, and contributing to infrastructure work (Databricks, AWS, Terraform) as initiatives require it. What you’ll do Feature development: build and ship LLM-powered product features, including AI-generated mobile push notifications, personalized in-app content recommendations and custom user journeys, and conversational AI-powered insights — including structured output such as charts and widgets Latency and UX: reduce perceived and actual response latency through streaming, pregeneration, and inference-time tradeoffs, working closely with product and design on how AI output is experienced by users Prompt and model behavior: iterate on prompt design and calibration, use fine-tuned health-domain models (Llama, Gemma, MedGemma) where relevant, and work with the Judge-as-a-Service ecosystem to keep outputs safe and high quality Experimentation: help enable A/B testing for model and prompt changes, using evaluation gates to ship safely and measure impact Data and evaluation: contribute to synthetic Q&A generation, golden test sets, and evaluation dataset design that supports the features you’re building Infrastructure: contribute to Databricks, AWS (EKS), Terraform, or CI/CD work as initiatives require it Cross-functional impact: collaborate with Product, Security, Analytics, and Medical teams, and engage with technology partners (Databricks, Google, OpenAI, Anthropic, AWS) on pre-release capabilities relevant to your features Experience and skills Must have: 7+ years of software engineering, with recent hands-on experience building product features backed by LLMs experience with at least one of: prompt engineering, LLM evaluation, fine-tuning, or model serving strong Python, and comfort working with APIs/SDKs that wrap LLM calls, prompt templates, and structured outputs product sensibility: a track record of shipping user-facing features, with attention to latency, tone, and quality of AI output as experienced by end users comfort picking up new infrastructure tools (Databricks, AWS, Terraform, GitHub Actions) as needed — deep prior expertise not required Nice to have: LLM evaluation frameworks (judges, graders, calibration methodology) or fine-tuning techniques (LoRA, RLHF/DPO, model distillation) prompt optimisation frameworks (DSPy or similar) feature stores or personalization/ranking experience (relevant to in-app content recommendation work) healthcare, regulated-industry, or safety-critical AI systems experience data engineering fundamentals (Spark, Delta tables, Parquet) #LI-KP1 #LI-Hybrid Annual Salary Range (ranges may vary based on skills and experience) £120,000 — £180,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Paris, Remote Workplace: remote Our Solution Expert team plays a key role in supporting strategic customers in RUN phase, by acting as trusted advisors on complex use cases. Working closely with Sales, Product, and Customer Success, they analyze advanced client needs, challenge existing setups, and translate requirements into scalable solutions within the 360Learning platform.   You will manage a portfolio of customers throughout their lifecycle to drive product adoption and deliver tailored solutions beyond standard product capabilities.   These large and strategic accounts have already deployed the platform and have a strong level of autonomy. They rely on your technical and functional expertise to lead complex integrations (APIs, flat files, third-party tools), redesign platform architecture, run solution audits, and provide high-level recommendations to maximize business impact and long-term value. Within 1 month, you will: Become a Trello expert through our onboarding process Understand our product offering through training Master our platform and be able to support clients on basics requests through ticketing Within 3 months, you will: Own your portfolio of 10 enterprise clients & leading up to 30 active projects simultaneously Start to answer questions coming from your portfolio of clients Support the Customer Success partner on functional and technical questions Successfully implement integration (SSO, third-party tools), deliver technical expertise on how to integrate their learning platform to their technical environment & troubleshooting Within 6 months, you will: Be able to pitch the value of the 360Learning platform Develop repeatable and scalable processes to improve project quality and delivery Support Strategic customers all along their contract from an expertise standpoint Deliver Professional Services to our existing customers base Within 12 months, you will: Onboard another Solution Expert Contribute to our knowledge base to share best practices and lessons learned Work with our partner ecosystem to strengthen the services proposed to our clients Deliver platform audits to clients Deliver professional services proposed in our Professional Service catalogue The Skill Set 3 years of professional consulting experience, preferably in a customer facing role (Level 2 or 3 support agents, Technical consultant, Technical Account Manager) Previous deployment experience of SaaS products, ideally HR related Project management skills Good understanding and experience working with APIs, SSO configuration & troubleshooting Solution-oriented, client-first mindset in everything you do Ability to adapt to your audience, flexibility in tackling a conversation with highly technical stakeholders, and reducing complexity to more common terms with less technical stakeholders Organized, structured, rational, analytical, able to manage priorities across multiple customer implementations Full professional proficiency in French, English, and German Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with a Solution Expert Case Study Meeting with 2 Solution Expert Coach and a Solution Expert Clarification Meeting with our Head of Professional Services Culture Fit Meeting with our Chief Human Resources Officer Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Shanghai Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Backend Tech Lead who is passionate about challenges, technically excellent, and eager to create greater impact by leading and empowering a team to join our Xsolla China technology team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to lead a team focused on delivering customized integration solutions and technical support for the Chinese market, while participating deeply in product architecture discussions and decisions. Strong programming skills and solid computer science fundamentals are essential, along with experience in designing and developing highly available, scalable, large-scale distributed systems, with deep expertise in middleware such as message queues, Elasticsearch, Redis, and MySQL. The ability to lead and mentor team members, foster their professional growth, and ensure the team delivers high-quality code efficiently will be key to your success in this role. If you’re passionate about driving innovation and delivering tailored solutions for the gaming industry in China and love combining profound technical expertise with team management and product thinking to create meaningful impact, we would love to hear from you! RESPONSIBILITIES Technical Leadership & Architecture Lead the design, implementation, and optimization of backend technical solutions for China-specific customized projects, continuously improving service performance and stability. Define future technology stacks and development architecture for the team, and participate in architectural solution discussions at the department level. Possess deep understanding and practical experience in designing and developing highly available, scalable, large-scale distributed systems. Expertise in the principles and optimization of middleware such as message queues, Elasticsearch, Redis, and MySQL. Development Process & Project Management Set team goals, plan development processes, and provide accurate estimations for task implementation. Organize and facilitate daily team rituals (stand-ups, reviews, retrospectives). Establish and improve product quality assurance (QA) processes, and participate in testing and delivery phases. Team Building & Talent Development Be responsible for building the technical team (including recruitment, onboarding, and retention). Identify team members' strengths and weaknesses, and support their professional growth through coaching, knowledge sharing, and fostering a mentorship culture. Create and update team competency maps, and plan individual development tracks for members. Build a culture of collective responsibility for commitments, as well as trust, innovation, and mutual support within the team. Business & Collaboration Participate in research and discussions on products in domains like gaming payments, driving their localization and promotion in the Chinese market. Possess excellent teamwork and communication skills, enabling effective collaboration with technical, product, and business partners. 5.Other Need Game industry experience required On-site position only (remote work not available) Qualifications and Skills Must-have: Bachelor's degree or higher in Computer Science or a related field. 5+ years of backend development experience, with at least 1 year in a tech lead, team lead, or core architect role. Strong programming skills and solid computer science fundamentals, with proficiency in data structures and design patterns. Must be skilled in Golang or PHP and their mainstream frameworks. Hands-on experience in designing and developing large-scale distributed systems, with deep insight into system performance bottlenecks and optimization. Excellent communication skills, a strong sense of responsibility, and clear logical thinking for complex problem-solving. Fluent English (B2+ level), capable of seamless communication in an international team environment. Ability to thrive in a fast-paced environment, with strong self-motivation and resilience. Nice to Have Experience working in Agile/Kanban environments. Familiarity with large-scale agile frameworks like SAFe is a plus. Understanding of frontend technology stacks (e.g., React ecosystem) or full-stack development experience. Experience building and optimizing CI/CD pipelines and automated testing (e.g., Playwright, Cypress). Solid understanding of caching, networking, load balancers, and CDNs. Familiarity with key-value or document databases (e.g., Redis, MongoDB). Note: Candidates without management experience could also be considered. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Shanghai Workplace: onsite RESPONSIBILITIES Development Management:Setting goals and planning the development process for the team Estimating the time of the implementation of individual tasks Organizing and facilitating team rituals Creating product QA process Participating in testing and delivery processes Team Management:Creating a support team from a scratch (onboarding, retaining, etc.) Supporting the professional growth of employees through the accumulation of knowledge and experience Working with the strengths and weaknesses of team members Building a culture of collective responsibility for commitments Creating a culture of trust, creativity and mentorship in the team Creating and updating a competency map as well as working with personal development tracks for each employee Defining future technologies and development architecture with the team Participating in the discussion of architectural solutions in the department REQUIREMENTS 5+ years of frontend development experience Experience working in an Agile/Kanban environment Strong working knowledge of React and its ecosystem (state management, hooks, etc.) Solid understanding of backend components such as caches, networks, load balancers, and CDNs Ability to develop reliable, scalable, and maintainable frontend applications Fluent English (B2+ level) with strong communication skills Flexibility to thrive in a fast-paced environment Preferred Qualifications Hands-on experience with modern frontend frameworks such as React, Angular, or Vue Experience building and optimizing CI/CD pipelines Familiarity with SAFe (Scaled Agile Framework) or other large-scale agile frameworks Automation testing experience using Playwright or Cypress Exposure to key-value and document databases (e.g., Redis, MongoDB) Team leadership or management experience is a plus, could accept candidates without management experience Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 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: Claude is one of the most-used AI products in the world, and the experience we build for our users directly shapes how people interact with AI every day. We're looking for a talented engineer to join the team that builds the consumer web app — the interfaces, interactions, and moments that turn Claude from a capable model into a product people genuinely enjoy using. This is a product engineering role first and foremost. You'll work closely with designers and product managers to bring features from concept to shipped experience, obsessing over the details that make the difference: how something feels when you first land on it, how smoothly a new interaction flows, how an interface holds up under real-world use. The pace is fast, the product is evolving quickly, and the opportunity to have a visible, direct impact on how millions of people use AI is real. If you love building consumer products and care about getting the details right, this could be a great fit. Responsibilities: Set technical direction for the Claude product and its features Build and ship user-facing features for Claude's web and desktop experience Own the quality bar for how the product looks and feels, treating latency, responsiveness, and reliability as first-class concerns rather than afterthoughts, and advocate for user experience and design considerations early in the process Collaborate tightly with product managers to understand user needs, shape feature scope, and make informed tradeoffs as you build Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis You may be a good fit if you: Have 5+ years of experience building consumer-facing web products, with a strong emphasis on UI quality and user experience Are proficient in React, Next.js, and TypeScript, and have experience with Node.js on the backend side of the stack Genuinely care about the user experience — not just how something looks, but how fast it loads, how reliably it works, and how it feels across devices. You think about latency and responsiveness the same way you think about design Collaborate well with designers and product managers, and enjoy the iterative process of turning a design into something that works beautifully in the browser Are comfortable working in a fast-moving environment where priorities shift and shipping quickly matters Pick up slack, even if it goes outside your job description Strong candidates may also have experience with: Performance optimization for consumer web apps — profiling, reducing bundle size, improving rendering performance, and understanding where latency comes from end-to-end Designing and implementing responsive layouts that work well across screen sizes and devices Working on products with real-time or streaming interactions (chat interfaces, live updates, etc.) Working in fast-moving consumer product environments Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials 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: $320,000 — $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.

Location: London, UK 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 The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. Responsibilities: Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes security, container orchestration and identity management Threat model and assess risk for complex multi cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one Mentor engineers and contribute to hiring and growth of the Security team You may be a good fit if you: Have 8-15+ years of software engineering experience implementing and maintaining critical systems at scale Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++) Experience implementing and operating critical systems at scale using DevOps and cloud automation practices such as infrastructure as code Hands-on network security engineering in cloud or on-prem environments, for example VPC design, cloud firewall policy, egress control, private service connectivity or network segmentation Working knowledge of Kubernetes security and networking, including network policy, service identity and container hardening Experience with threat modeling and risk assessment for networked and multi cloud systems Track record of driving engineering excellence through high standards, constructive code reviews and mentorship Clear communicator who can translate technical concepts across organizational levels and bring clarity and ownership to ambiguous technical problems Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams Experience supporting fast-paced startup engineering teams Strong candidates may also have experience with: Secured Kubernetes networking at scale (CNI, network policy, service mesh or mTLS rollouts) or worked in high-assurance environments where controls had to be evidenced, not just deployed Worked on interconnects and private connectivity between cloud providers and physical data centers, including management-plane and out-of-band network security Built network traffic visibility or exfiltration detection systems Exposure to large-scale distributed training and what it demands of a network Led cross-functional security initiatives and navigated complex organizational dynamics Managing infrastructure through automated configuration and policy enforcement Hardening containerized applications and enforcing security policies 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: £255,000 — £325,000 GBP 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.

Location: San Francisco, CA | New York City, NY 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 Horizons The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models. About the role We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows. You may be a good fit if you: Have experience in cybersecurity research. Have experience with machine learning. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. 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: $500,000 — $850,000 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.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP. We're seeking versatile, entrepreneurial engineers to join Labs. In this role, you'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, working directly with researchers and users, and generating the insights that shape Anthropic's product future. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory. Responsibilities Rapidly prototype full-stack applications that showcase emerging AI capabilities, shipping early and often to maximize learning Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user experiences Work directly with internal test users and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation Generate documentation and insights to guide successful prototypes toward full product teams Advocate for user experience and product considerations early in the research process Provide feedback to research teams about model effectiveness and where capabilities can be improved Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities—context from one project should inform the next You may be a good fit if you Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments Thrive in ambiguity and are energized (not anxious) by uncertainty—you're comfortable working on projects that might not exist in three months Have a hacker mentality: high agency, bias toward shipping, comfort with technical debt when it's the right tradeoff Are deeply user-centric—you validate ideas with actual users before over-investing and talk about problems before solutions Can articulate learnings from failed or killed projects without defensiveness; you treat your work as experiments Hold strong opinions loosely—you advocate forcefully for ideas but change your mind based on evidence Are a generalist who can transition between different problem spaces as priorities shift Work independently with good judgment about what matters, without needing constant direction Have strong technical skills across modern web development stacks (React, Node.js, Python, etc.) and are comfortable with APIs, databases, and cloud technologies Communicate effectively and translate complex AI capabilities into intuitive experiences Care about the societal impacts and ethics of your work Strong candidates may also have Experience building products that involve AI/ML components or working with large language models Experience collaborating directly with research teams in AI/ML environments Background conducting user research, interviews, and usability testing Experience across both B2B and B2C product development, or in multiple industries Design sensibility or hands-on experience with UI/UX for AI-powered applications Experience with real-time applications, WebSocket implementations, or complex frontend interactions What we're not looking for at this stage Deep specialists who can't adapt if their domain becomes irrelevant Engineers who've only succeeded in big-company structures with well-defined processes and long timelines People who are precious about their work or frame all past projects as successes Those who need clear roadmaps and get stressed by shifting priorities Candidates need not have 100% of the skills listed above Formal certifications or education credentials Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $320,000 — $485,000 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.

Location: Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA 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 As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Responsibilities Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve. Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models. Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting. Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected). You May Be a Good Fit If You Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.). Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries. Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. Thrive in ambiguity and bring structure where none exists. Have a builder's mindset — you're here to create a function, not join one. 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: $275,000 — $380,000 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.