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Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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 Join Anthropic's Customer Success team as an AI Outcome Manager in a high-impact role driving AI adoption across our Financial Services segment. As an AI Outcome Manager for FSI, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Banking, Insurance, Asset & Wealth Management, and Data Providers  — helping them harness the full potential of all our Claude capabilities - Claude Enterprise, Claude Code, and API. You'll work with organizations across diverse sub-segments that are transforming their businesses with AI technology. Developing 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, drive model and use case optimizations, implement change management strategies, 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. Responsibilities: Build trusting, strategic relationships with key 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 Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and their industry vertical 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 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 and Sales 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 Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering Experience working with enterprises in Financial Services Deep understanding of FSI regulatory, risk, and compliance needs Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player 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 — $265,000 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: Munich, Germany 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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Materials & Industrial A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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: €265.000 — €310.000 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: Munich, Germany 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. As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. Provide white glove deployment support for Anthropic products in enterprise environments. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25-50%) to customer sites to build in person with customers. Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have 8+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply. Native German speaker with fluent English proficiency Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications High agency with an ability to navigate ambiguity present in complex organizations. High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. Experience with enterprise IT systems and/or AI deployment patterns is a plus. 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: 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. En tant que membre de l'équipe Applied AI d'Anthropic, vous serez ingénieur en déploiement avancé (FDE) qui s'engage directement auprès de nos clients les plus stratégiques pour favoriser l'adoption de l'IA transformationnelle. Vous collaborerez étroitement avec les équipes de clients pour livrer des applications d'IA avancées qui résolvent des problèmes commerciaux réels. Nos FDE interagissent avec les clients pour accélérer l'adoption des produits existants et créer de nouvelles applications basées sur nos modèles. En travaillant en étroite collaboration avec nos équipes post-vente, produit et ingénierie, vous combinerez expertise en ingénierie, compréhension des applications IA de pointe et compétences en contact avec la clientèle pour comprendre les flux de travail clients et développer des solutions innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées de sécurité et de fiabilité. Vous serez à la pointe des déploiements d'IA en entreprise et vous serez l'une de nos fondatrices FDE qui contribue à façonner notre mouvement de déploiement vers l'avant. Nous attendons de nos FDE qu'ils travaillent de manière autonome, qu'ils s'épanouissent dans l'ambiguïté et qu'ils représentent Anthropic au plus haut niveau dans l'environnement de nos clients. Il s'agit d'une responsabilité importante : vous jouerez un rôle clé en défendant notre mission au sein de l'entreprise. Responsabilités Travailler au sein des systèmes clients pour développer des applications de production avec les modèles Claude, en veillant à ce que ces produits répondent aux exigences des clients. Fournir aux clients des artefacts techniques tels que des serveurs MCP, des sous-agents et des compétences d'agent qui seront utilisés dans les flux de travail de production. Fournir une assistance au déploiement des produits Anthropic dans les environnements d'entreprise. Identifier et codifier des modèles de déploiement reproductibles et fournir des informations à nos équipes Produit et Ingénierie. Maintenir une connaissance approfondie des derniers développements en matière de capacités des LLM, de modèles de mise en œuvre et de piles technologiques de développement de produits d'IA. Établir des relations à long terme avec les clients et identifier de manière proactive de nouvelles opportunités de déploiement de l'IA tout au long du cycle de vie d'un engagement. Se déplacer fréquemment (25 à 50 %) sur les sites des clients afin de nouer des relations personnelles avec eux. Être un champion de la mission d'Anthropic sur le terrain. Profil recherché : Vous avez plus de 8 ans d'expérience dans un poste technique en contact avec la clientèle, par exemple en tant qu'ingénieur en déploiement avancé, ou en tant qu'ingénieur logiciel avec une expérience de conseil. Les anciens fondateurs techniques sont également encouragés à poser leur candidature. Vous avez de l'expérience en production avec des LLM, incluant l'ingénierie avancée des prompts, le développement d'agents, les cadres d'évaluation et le déploiement à grande échelle. Vous avez de solides compétences en programmation avec une maîtrise de Python (et idéalement d'un ou plusieurs autres langages comme TypeScript, Java, etc.) et une expérience de l'expédition d'applications de production. Haute capacité d'action, capable de surmonter l'ambiguïté qui caractérise les organisations complexes. • Esprit de coopération élevé pour la collaboration inter-organisationnelle, équilibrant les priorités concurrentes avec intégrité. • Passion pour la promotion de systèmes d'IA sûrs et bénéfiques à travers des applications techniques créatives. • Solides compétences en communication pour mener des discussions exploratoires avec les clients et transmettre des concepts techniques à divers intervenants tout en conservant une attitude humble et collaborative. • Une expérience dans le domaine des services financiers, des soins de santé/sciences de la vie ou d'un autre secteur d'activité est un atout. • Une expérience des systèmes informatiques d'entreprise et/ou des modèles de déploiement de l'IA est un atout. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. Provide white glove deployment support for Anthropic products in enterprise environments. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25-50%) to customer sites to build in person with customers. Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have 8+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply. Native French speaker with fluent English proficiency Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications High agency with an ability to navigate ambiguity present in complex organizations. High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. Experience with enterprise IT systems and/or AI deployment patterns is a plus. 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: Munich, Germany 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 an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native or C1 German speaker with fluent English proficiency Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: Ukraine Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an Agile Coach to join our Engineering department and help strengthen agile ways of working across multiple teams. In this role, you will foster greater team maturity, autonomy, and continuous improvement, enabling scalable agility and driving more effective, sustainable value delivery across Engineering.Requirements:3+ years of experience working with teams in Scrum environments (for external candidates).Strong knowledge of Agile frameworks (Scrum/Kanban/Lean) and context-based application.Deep understanding of the Software & Product Development Lifecycle and engineering practices (XP as a plus).Strong facilitation, coaching, and mentoring skills (incl. adult learning/training).Proven ability in systems thinking, working across multiple teams and departments.Experience in conflict management, feedback culture, and trust-based relationships.Data-informed improvement mindset: EBM, metrics, forecasting, strong remote collaboration skills.Proficiency in English and Ukrainian languages.Responsibilities:Grow mature, self-managing teams that own their process, decisions, and outcomes.Coach engineering and product roles to make decisions together, without depending on any single point of drive.Partner with product management on scope and clear goals.Facilitate the hard conversations a team cannot yet run — and hand facilitation back.Diagnose what blocks team autonomy and address it with evidence, not opinions.Use AI in your own coaching practice.Escalate systemic blockers above the team level with data and a proposed direction.Support org-wide change initiatives.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type Who We’re Looking For: We are looking for an Agile Coach to join our Engineering department and help strengthen agile ways of working across multiple teams. In this role, you will foster greater team maturity, autonomy, and continuous improvement, enabling scalable agility and driving more effective, sustainable value delivery across Engineering. Requirements: -3+ years of experience working with teams in Scrum environments (for external candidates). -Strong knowledge of Agile frameworks (Scrum/Kanban/Lean) and context-based application. -Deep understanding of the Software & Product Development Lifecycle and engineering practices (XP as a plus). -Strong facilitation, coaching, and mentoring skills (incl. adult learning/training). -Proven ability in systems thinking, working across multiple teams and departments. -Experience in conflict management, feedback culture, and trust-based relationships. -Data-informed improvement mindset: EBM, metrics, forecasting, strong remote collaboration skills. -Proficiency in English and Ukrainian languages. Responsibilities: -Grow mature, self-managing teams that own their process, decisions, and outcomes. -Coach engineering and product roles to make decisions together, without depending on any single point of drive. -Partner with product management on scope and clear goals. -Facilitate the hard conversations a team cannot yet run — and hand facilitation back. -Diagnose what blocks team autonomy and address it with evidence, not opinions. -Use AI in your own coaching practice. -Escalate systemic blockers above the team level with data and a proposed direction. -Support org-wide change initiatives. What to expect from us: -Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. -Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. -Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. -Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. -Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type

Location: Remote, Singapore GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Solutions Architect based in Singapore (reporting to the Asia Solutions Architect Manager), you'll join GitLab's Asia team as the trusted advisor to prospects, customers and partners across the region, helping them understand how GitLab's AI-powered DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle. You'll guide organisations through their digital transformation journeys, from planning through monitoring, using your technical and AI expertise, understanding of cloud and modern software development practices, and strong customer empathy. Partnering closely with your peers, Account Executives and cross-functional teams, you'll own technical evaluations, including proofs of value and workshops, shape solution architectures, and serve as the voice of the customer back to Product Management. You'll drive successful platform adoption, influence revenue growth through solution and value selling, and build long-term, trust-based relationships that showcase GitLab's differentiated position in an AI-driven DevSecOps landscape. What you'll do Lead technical discovery, demos, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full lifecycle. Drive the technical evaluation process as the directly responsible individual, including solution design, proof of concept or proof of value ownership, workshop design, and the technical components of tenders, audits, and value stream assessments. Collaborate with Account Executives and the broader go-to-market team across Asia to shape and execute account strategies that support new customer acquisition and expansion. Build and deepen relationships with technical practitioners and business leaders, guiding them through GitLab-driven transformation and enabling them to become GitLab advocates. Advise customers on modern software development, continuous integration, continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment. Serve as the voice of the customer with Product Management, Engineering, Sales, and Marketing by sharing feedback, use cases, and competitive insights that inform roadmap and positioning. Maintain and expand your technical expertise in GitLab, DevSecOps, AI, and related cloud technologies by creating reusable examples, best-practice guidance, and technical collateral for customers and partners. Invest in your growth and development through ongoing learning, mentorship, and knowledge sharing to improve the Solutions Architect team's impact continuously. What you'll bring Experience engaging with customers in technical pre-sales, consulting, or similar roles, guiding them through solution design and evaluation. Proficiency with the end-to-end software development lifecycle, including modern DevSecOps practices, continuous integration and continuous deployment workflows, and the application of Generative and Agentic AI within software delivery. Hands-on experience with GitLab or comparable source control, continuous integration and continuous deployment, and collaboration platforms, and the ability to map platform capabilities to customer use cases. Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams. Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments. Clear technical communication and presentation skills, with the ability to adapt messages for practitioners through to senior business and technical decision makers. Fluent Mandarin language skills are required for this role, with the ability to engage stakeholders from C-level executives through to end-user buyers confidently. This role covers markets where Mandarin is essential to effective customer engagement, primarily Singapore and Taiwan. Skill in building trusted relationships, listening with empathy, and acting as a customer advocate to internal teams such as Product, Engineering, Sales, and Marketing. Motivation to continuously develop professionally, including learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields. About the team The Solutions Architect team is part of GitLab's Sales organisation and serves as the technical counterpart to Account Executives, with this role focused on opportunities across Asia and reporting to the Asia Solutions Architect Manager. The team helps customers realise the full value of GitLab's AI-powered DevSecOps platform by advising on architecture, running technical evaluations such as proofs of value, and guiding customers through digital transformation. We work closely with Sales, Product Management, Engineering, and Marketing, collaborating asynchronously across regions to share best practices, create reusable technical collateral, and act as the voice of the customer. The team helps customers modernise end-to-end software delivery, adopt GitLab at scale, and navigate a rapidly evolving AI and DevSecOps landscape. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Observability, Monitoring, and Integrations team manages observability, monitoring, and detection for systems that support customer purchasing and use of GitLab. As a Staff Backend Engineer on the Fulfillment Workflow Monitoring (Catch All) team, you'll set the technical direction for the telemetry, detection, and reconciliation tooling that identifies billing, data, and event anomalies across CustomersDot, Salesforce, and Zuora before they can affect revenue or the customer experience. This is a greenfield team. You'll help build it from the ground up, shaping its operating rhythm, incident response model, and quality bar. You'll use telemetry and machine learning to identify issues early and help resolve them. Because Monetization changes can directly affect revenue and often involve confidential or financial information, you'll use strong judgment, careful rollout practices, and a high bar for reliability. This role is opening at the Staff Backend Engineer level (grade 8). What you’ll do Design, build, and operate observability across the Monetization stack, including metrics, logs, and traces, using tools such as Prometheus and Grafana. Implement automated detection for billing, data, and event anomalies, and route alerts to the responsible feature teams. Develop reconciliation and data integrity checks across usage and billing pipelines. Define and track service level objectives and service level indicators, write runbooks, and take part in incident response to measure and improve Monetization system reliability. Explore artificial intelligence and machine learning techniques to predict system anomalies and accelerate resolution. Review and offer feedback on merge requests from other Monetization engineers. Collaborate with Product, Finance, Support, and other partners to turn operational needs into reliable tooling. What you’ll bring Professional experience with Ruby on Rails, including building and operating applications such as CustomersDot. Experience in site reliability or observability engineering, including monitoring, alerting, service level objectives and indicators, runbooks, and incident response. Experience setting technical direction for observability, reliability, or detection work and bringing other engineers along. Experience building anomaly detection, monitoring, or risk management tooling. Familiarity with observability tools such as Prometheus, Grafana, and OpenTelemetry. Exposure to analytical data stores such as ClickHouse and the change data capture and event-streaming pipelines that feed them, including NATS JetStream. Experience owning projects from concept through production, communicating clearly about complex technical and organizational problems, and proposing iterative solutions. Working knowledge of Python for anomaly detection and data work, or experience with billing, financial, or other business-critical systems, including Zuora or Salesforce, is a plus. About the team The Observability, Monitoring, and Integrations team is part of GitLab's Monetization section, a highly cross-functional group that partners with Sales, Finance, IT, and Support to deliver secure and reliable purchasing, billing, provisioning, and utilization workflows. The Monetization section includes the Purchase, Subscription Lifecycle, Billing Engine, Platform and Infrastructure, Observability, Monitoring, and Integrations, and Compliance teams. This role is on the Fulfillment Workflow Monitoring (Catch All) team and reports to the Engineering Manager, Observability, Monitoring, and Integrations. We work asynchronously, plan and reflect regularly, and share responsibility for deployments, incident management, testing, and safe rollouts. We're increasingly focused on how artificial intelligence and machine learning can improve our Monetization infrastructure and provide predictive insights. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting 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 The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day. You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon. You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond. Responsibilities Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh You may be a good fit if you Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions Have 5+ years leading engineers, including at least 3 years as a people manager Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right Strong candidates may also Have led corporate networking at a company that added offices faster than it added network engineers Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use Have designed dense wireless for large event spaces and high-occupancy floors Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house Technical Skills We're looking for deep, hands-on experience in each of these — not surface familiarity: Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet) Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues) Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation) Out-of-band management and secure, auditable administrative access Network automation and configuration as code (Python, templating, vendor APIs, source control, CI) Network observability (streaming telemetry, flow and log pipelines) Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity) Deadline to apply: None. Applications will be received 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: $285,000 — $325,000 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 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 Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep expertise in experimental chemistry to join the team. We welcome chemists from across the field, including medicinal, synthetic organic, physical organic, organometallic, inorganic, analytical, physical, and materials chemistry, as well as formulation science. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in your area of chemistry with hands-on experience designing, and running experiments, from synthesizing, purifying, and characterizing compounds to studying reaction mechanisms and kinetics. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties against real chemistry. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Depending on your area of chemistry, you will: Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC) Design and run mechanistic, kinetic, and spectroscopic studies to explain and predict reactivity, selectivity, and molecular properties Prepare and characterize inorganic and organometallic compounds, materials, and formulations, and relate their composition and structure to their properties Coordinate synthesis and biological evaluation with external contract research organizations and academic partners Evaluate AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties, drive them to experimental readout, and feed results back to research teams Generate experimental and computational data, for example from quantum mechanical calculations, that research teams use to train and evaluate AI models Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry Demonstrated depth in your area of experimental chemistry (for medicinal chemists, SAR-driven design and optimization of small molecules,), with recent, sustained hands-on laboratory work Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of experience in your area of chemistry beyond the PhD For medicinal chemists, a track record of advancing programs from hit identification through lead optimization Experience directing chemistry activities at contract research organizations Computational chemistry, cheminformatics, or coding skills, for example quantum mechanical calculations (DFT) or Python with RDKit or pandas for data analysis and automation Experience using AI or ML tools in chemistry or the life sciences Publications and/or patents demonstrating scientific impact The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $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: South Africa OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. We are seeking a creative and strategic Instructional Designer to craft impactful learning experiences that combine the best of digital and human interaction. In this role, you will partner with subject matter experts and stakeholders to design modern, engaging programs for adult professionals—leveraging both evidence-based instructional design principles and the latest in generative AI technologies. INFUSE Academy drives both internal and external online education, creating smart, high-impact e-learning experiences that fuel real business results. We’re not just checking boxes – we’re designing innovative, engaging, and practical e-learning programs that empower people to grow and thrive. As we scale, we’re looking for a strategic and growth-oriented Instructional Designer to join our fast-paced, tight-knit team of passionate professionals. If you’re someone who brings bold ideas, loves experimenting with new approaches, and thrives in a collaborative environment, this is your moment. Our L&D philosophy We’re committed to delivering practical, growth-driven education that aligns with both business objectives and learner needs. Most of our solutions are designed as self-paced, asynchronous e-learning experiences, enhanced with AI-powered tools and immersive learning simulators. We believe learning should be engaging and story-driven. Inspired by platforms like Netflix, we continuously experiment with storytelling techniques to make development experiences more compelling and impactful. We're looking for someone who: Has a background in instructional design and AI implementation Understands the capabilities and limitations of LLMs (like GPT-4) Can prototype and configure custom GPTs and similar AI tools for learning solutions Is detail-oriented, innovative, and comfortable in a fast-paced, iterative environment Loves solving problems creatively and making learning experiences smarter and more engaging Key responsibilities Collaborate with internal subject matter experts (SMEs) and key stakeholders to design and deliver effective blended learning programs that align with business goals Apply principles of andragogy and evidence-based instructional design to create engaging, learner-centric experiences for adult professionals Design and curate blended learning solutions using a mix of learning formats (e.g., eLearning, self-paced modules, virtual training sessions, and on-the-job activities) Ensure instructional consistency, accessibility, and relevance of content across delivery modes Leverage generative AI tools, including designing and deploying custom GPTs, to support learning Manage project timelines, resources, and communication workflows to ensure the timely and organized execution of learning initiatives What we offer A dynamic and supportive team environment focused on innovation in learning. Meaningful involvement in training initiatives with global impact. Career growth potential within a fast-paced, purpose-driven team. Access to cutting-edge e-learning tools and approaches. Access to high-quality professional development resources and marketing insights. If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you! We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.

Location: Slovenia OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. We are seeking a creative and strategic Instructional Designer to craft impactful learning experiences that combine the best of digital and human interaction. In this role, you will partner with subject matter experts and stakeholders to design modern, engaging programs for adult professionals—leveraging both evidence-based instructional design principles and the latest in generative AI technologies. INFUSE Academy drives both internal and external online education, creating smart, high-impact e-learning experiences that fuel real business results. We’re not just checking boxes – we’re designing innovative, engaging, and practical e-learning programs that empower people to grow and thrive. As we scale, we’re looking for a strategic and growth-oriented Instructional Designer to join our fast-paced, tight-knit team of passionate professionals. If you’re someone who brings bold ideas, loves experimenting with new approaches, and thrives in a collaborative environment, this is your moment. Our L&D philosophy We’re committed to delivering practical, growth-driven education that aligns with both business objectives and learner needs. Most of our solutions are designed as self-paced, asynchronous e-learning experiences, enhanced with AI-powered tools and immersive learning simulators. We believe learning should be engaging and story-driven. Inspired by platforms like Netflix, we continuously experiment with storytelling techniques to make development experiences more compelling and impactful. We're looking for someone who: Has a background in instructional design and AI implementation Understands the capabilities and limitations of LLMs (like GPT-4) Can prototype and configure custom GPTs and similar AI tools for learning solutions Is detail-oriented, innovative, and comfortable in a fast-paced, iterative environment Loves solving problems creatively and making learning experiences smarter and more engaging Key responsibilities Collaborate with internal subject matter experts (SMEs) and key stakeholders to design and deliver effective blended learning programs that align with business goals Apply principles of andragogy and evidence-based instructional design to create engaging, learner-centric experiences for adult professionals Design and curate blended learning solutions using a mix of learning formats (e.g., eLearning, self-paced modules, virtual training sessions, and on-the-job activities) Ensure instructional consistency, accessibility, and relevance of content across delivery modes Leverage generative AI tools, including designing and deploying custom GPTs, to support learning Manage project timelines, resources, and communication workflows to ensure the timely and organized execution of learning initiatives What we offer A dynamic and supportive team environment focused on innovation in learning. Meaningful involvement in training initiatives with global impact. Career growth potential within a fast-paced, purpose-driven team. Access to cutting-edge e-learning tools and approaches. Access to high-quality professional development resources and marketing insights. If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you! We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.

Location: Slovakia OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. We are seeking a creative and strategic Instructional Designer to craft impactful learning experiences that combine the best of digital and human interaction. In this role, you will partner with subject matter experts and stakeholders to design modern, engaging programs for adult professionals—leveraging both evidence-based instructional design principles and the latest in generative AI technologies. INFUSE Academy drives both internal and external online education, creating smart, high-impact e-learning experiences that fuel real business results. We’re not just checking boxes – we’re designing innovative, engaging, and practical e-learning programs that empower people to grow and thrive. As we scale, we’re looking for a strategic and growth-oriented Instructional Designer to join our fast-paced, tight-knit team of passionate professionals. If you’re someone who brings bold ideas, loves experimenting with new approaches, and thrives in a collaborative environment, this is your moment. Our L&D philosophy We’re committed to delivering practical, growth-driven education that aligns with both business objectives and learner needs. Most of our solutions are designed as self-paced, asynchronous e-learning experiences, enhanced with AI-powered tools and immersive learning simulators. We believe learning should be engaging and story-driven. Inspired by platforms like Netflix, we continuously experiment with storytelling techniques to make development experiences more compelling and impactful. We're looking for someone who: Has a background in instructional design and AI implementation Understands the capabilities and limitations of LLMs (like GPT-4) Can prototype and configure custom GPTs and similar AI tools for learning solutions Is detail-oriented, innovative, and comfortable in a fast-paced, iterative environment Loves solving problems creatively and making learning experiences smarter and more engaging Key responsibilities Collaborate with internal subject matter experts (SMEs) and key stakeholders to design and deliver effective blended learning programs that align with business goals Apply principles of andragogy and evidence-based instructional design to create engaging, learner-centric experiences for adult professionals Design and curate blended learning solutions using a mix of learning formats (e.g., eLearning, self-paced modules, virtual training sessions, and on-the-job activities) Ensure instructional consistency, accessibility, and relevance of content across delivery modes Leverage generative AI tools, including designing and deploying custom GPTs, to support learning Manage project timelines, resources, and communication workflows to ensure the timely and organized execution of learning initiatives What we offer A dynamic and supportive team environment focused on innovation in learning. Meaningful involvement in training initiatives with global impact. Career growth potential within a fast-paced, purpose-driven team. Access to cutting-edge e-learning tools and approaches. Access to high-quality professional development resources and marketing insights. If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you! We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.

Location: Serbia OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. We are seeking a creative and strategic Instructional Designer to craft impactful learning experiences that combine the best of digital and human interaction. In this role, you will partner with subject matter experts and stakeholders to design modern, engaging programs for adult professionals—leveraging both evidence-based instructional design principles and the latest in generative AI technologies. INFUSE Academy drives both internal and external online education, creating smart, high-impact e-learning experiences that fuel real business results. We’re not just checking boxes – we’re designing innovative, engaging, and practical e-learning programs that empower people to grow and thrive. As we scale, we’re looking for a strategic and growth-oriented Instructional Designer to join our fast-paced, tight-knit team of passionate professionals. If you’re someone who brings bold ideas, loves experimenting with new approaches, and thrives in a collaborative environment, this is your moment. Our L&D philosophy We’re committed to delivering practical, growth-driven education that aligns with both business objectives and learner needs. Most of our solutions are designed as self-paced, asynchronous e-learning experiences, enhanced with AI-powered tools and immersive learning simulators. We believe learning should be engaging and story-driven. Inspired by platforms like Netflix, we continuously experiment with storytelling techniques to make development experiences more compelling and impactful. We're looking for someone who: Has a background in instructional design and AI implementation Understands the capabilities and limitations of LLMs (like GPT-4) Can prototype and configure custom GPTs and similar AI tools for learning solutions Is detail-oriented, innovative, and comfortable in a fast-paced, iterative environment Loves solving problems creatively and making learning experiences smarter and more engaging Key responsibilities Collaborate with internal subject matter experts (SMEs) and key stakeholders to design and deliver effective blended learning programs that align with business goals Apply principles of andragogy and evidence-based instructional design to create engaging, learner-centric experiences for adult professionals Design and curate blended learning solutions using a mix of learning formats (e.g., eLearning, self-paced modules, virtual training sessions, and on-the-job activities) Ensure instructional consistency, accessibility, and relevance of content across delivery modes Leverage generative AI tools, including designing and deploying custom GPTs, to support learning Manage project timelines, resources, and communication workflows to ensure the timely and organized execution of learning initiatives What we offer A dynamic and supportive team environment focused on innovation in learning. Meaningful involvement in training initiatives with global impact. Career growth potential within a fast-paced, purpose-driven team. Access to cutting-edge e-learning tools and approaches. Access to high-quality professional development resources and marketing insights. If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you! We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.

Location: Portugal OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. We are seeking a creative and strategic Instructional Designer to craft impactful learning experiences that combine the best of digital and human interaction. In this role, you will partner with subject matter experts and stakeholders to design modern, engaging programs for adult professionals—leveraging both evidence-based instructional design principles and the latest in generative AI technologies. INFUSE Academy drives both internal and external online education, creating smart, high-impact e-learning experiences that fuel real business results. We’re not just checking boxes – we’re designing innovative, engaging, and practical e-learning programs that empower people to grow and thrive. As we scale, we’re looking for a strategic and growth-oriented Instructional Designer to join our fast-paced, tight-knit team of passionate professionals. If you’re someone who brings bold ideas, loves experimenting with new approaches, and thrives in a collaborative environment, this is your moment. Our L&D philosophy We’re committed to delivering practical, growth-driven education that aligns with both business objectives and learner needs. Most of our solutions are designed as self-paced, asynchronous e-learning experiences, enhanced with AI-powered tools and immersive learning simulators. We believe learning should be engaging and story-driven. Inspired by platforms like Netflix, we continuously experiment with storytelling techniques to make development experiences more compelling and impactful. We're looking for someone who: Has a background in instructional design and AI implementation Understands the capabilities and limitations of LLMs (like GPT-4) Can prototype and configure custom GPTs and similar AI tools for learning solutions Is detail-oriented, innovative, and comfortable in a fast-paced, iterative environment Loves solving problems creatively and making learning experiences smarter and more engaging Key responsibilities Collaborate with internal subject matter experts (SMEs) and key stakeholders to design and deliver effective blended learning programs that align with business goals Apply principles of andragogy and evidence-based instructional design to create engaging, learner-centric experiences for adult professionals Design and curate blended learning solutions using a mix of learning formats (e.g., eLearning, self-paced modules, virtual training sessions, and on-the-job activities) Ensure instructional consistency, accessibility, and relevance of content across delivery modes Leverage generative AI tools, including designing and deploying custom GPTs, to support learning Manage project timelines, resources, and communication workflows to ensure the timely and organized execution of learning initiatives What we offer A dynamic and supportive team environment focused on innovation in learning. Meaningful involvement in training initiatives with global impact. Career growth potential within a fast-paced, purpose-driven team. Access to cutting-edge e-learning tools and approaches. Access to high-quality professional development resources and marketing insights. If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you! We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. We are seeking a creative and strategic Instructional Designer to craft impactful learning experiences that combine the best of digital and human interaction. In this role, you will partner with subject matter experts and stakeholders to design modern, engaging programs for adult professionals—leveraging both evidence-based instructional design principles and the latest in generative AI technologies. INFUSE Academy drives both internal and external online education, creating smart, high-impact e-learning experiences that fuel real business results. We’re not just checking boxes – we’re designing innovative, engaging, and practical e-learning programs that empower people to grow and thrive. As we scale, we’re looking for a strategic and growth-oriented Instructional Designer to join our fast-paced, tight-knit team of passionate professionals. If you’re someone who brings bold ideas, loves experimenting with new approaches, and thrives in a collaborative environment, this is your moment. Our L&D philosophy We’re committed to delivering practical, growth-driven education that aligns with both business objectives and learner needs. Most of our solutions are designed as self-paced, asynchronous e-learning experiences, enhanced with AI-powered tools and immersive learning simulators. We believe learning should be engaging and story-driven. Inspired by platforms like Netflix, we continuously experiment with storytelling techniques to make development experiences more compelling and impactful. We're looking for someone who: Has a background in instructional design and AI implementation Understands the capabilities and limitations of LLMs (like GPT-4) Can prototype and configure custom GPTs and similar AI tools for learning solutions Is detail-oriented, innovative, and comfortable in a fast-paced, iterative environment Loves solving problems creatively and making learning experiences smarter and more engaging Key responsibilities Collaborate with internal subject matter experts (SMEs) and key stakeholders to design and deliver effective blended learning programs that align with business goals Apply principles of andragogy and evidence-based instructional design to create engaging, learner-centric experiences for adult professionals Design and curate blended learning solutions using a mix of learning formats (e.g., eLearning, self-paced modules, virtual training sessions, and on-the-job activities) Ensure instructional consistency, accessibility, and relevance of content across delivery modes Leverage generative AI tools, including designing and deploying custom GPTs, to support learning Manage project timelines, resources, and communication workflows to ensure the timely and organized execution of learning initiatives What we offer A dynamic and supportive team environment focused on innovation in learning. Meaningful involvement in training initiatives with global impact. Career growth potential within a fast-paced, purpose-driven team. Access to cutting-edge e-learning tools and approaches. Access to high-quality professional development resources and marketing insights. If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you! We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.

Location: North Macedonia OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. We are seeking a creative and strategic Instructional Designer to craft impactful learning experiences that combine the best of digital and human interaction. In this role, you will partner with subject matter experts and stakeholders to design modern, engaging programs for adult professionals—leveraging both evidence-based instructional design principles and the latest in generative AI technologies. INFUSE Academy drives both internal and external online education, creating smart, high-impact e-learning experiences that fuel real business results. We’re not just checking boxes – we’re designing innovative, engaging, and practical e-learning programs that empower people to grow and thrive. As we scale, we’re looking for a strategic and growth-oriented Instructional Designer to join our fast-paced, tight-knit team of passionate professionals. If you’re someone who brings bold ideas, loves experimenting with new approaches, and thrives in a collaborative environment, this is your moment. Our L&D philosophy We’re committed to delivering practical, growth-driven education that aligns with both business objectives and learner needs. Most of our solutions are designed as self-paced, asynchronous e-learning experiences, enhanced with AI-powered tools and immersive learning simulators. We believe learning should be engaging and story-driven. Inspired by platforms like Netflix, we continuously experiment with storytelling techniques to make development experiences more compelling and impactful. We're looking for someone who: Has a background in instructional design and AI implementation Understands the capabilities and limitations of LLMs (like GPT-4) Can prototype and configure custom GPTs and similar AI tools for learning solutions Is detail-oriented, innovative, and comfortable in a fast-paced, iterative environment Loves solving problems creatively and making learning experiences smarter and more engaging Key responsibilities Collaborate with internal subject matter experts (SMEs) and key stakeholders to design and deliver effective blended learning programs that align with business goals Apply principles of andragogy and evidence-based instructional design to create engaging, learner-centric experiences for adult professionals Design and curate blended learning solutions using a mix of learning formats (e.g., eLearning, self-paced modules, virtual training sessions, and on-the-job activities) Ensure instructional consistency, accessibility, and relevance of content across delivery modes Leverage generative AI tools, including designing and deploying custom GPTs, to support learning Manage project timelines, resources, and communication workflows to ensure the timely and organized execution of learning initiatives What we offer A dynamic and supportive team environment focused on innovation in learning. Meaningful involvement in training initiatives with global impact. Career growth potential within a fast-paced, purpose-driven team. Access to cutting-edge e-learning tools and approaches. Access to high-quality professional development resources and marketing insights. If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you! We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.

Location: Montenegro OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces. We are seeking a creative and strategic Instructional Designer to craft impactful learning experiences that combine the best of digital and human interaction. In this role, you will partner with subject matter experts and stakeholders to design modern, engaging programs for adult professionals—leveraging both evidence-based instructional design principles and the latest in generative AI technologies. INFUSE Academy drives both internal and external online education, creating smart, high-impact e-learning experiences that fuel real business results. We’re not just checking boxes – we’re designing innovative, engaging, and practical e-learning programs that empower people to grow and thrive. As we scale, we’re looking for a strategic and growth-oriented Instructional Designer to join our fast-paced, tight-knit team of passionate professionals. If you’re someone who brings bold ideas, loves experimenting with new approaches, and thrives in a collaborative environment, this is your moment. Our L&D philosophy We’re committed to delivering practical, growth-driven education that aligns with both business objectives and learner needs. Most of our solutions are designed as self-paced, asynchronous e-learning experiences, enhanced with AI-powered tools and immersive learning simulators. We believe learning should be engaging and story-driven. Inspired by platforms like Netflix, we continuously experiment with storytelling techniques to make development experiences more compelling and impactful. We're looking for someone who: Has a background in instructional design and AI implementation Understands the capabilities and limitations of LLMs (like GPT-4) Can prototype and configure custom GPTs and similar AI tools for learning solutions Is detail-oriented, innovative, and comfortable in a fast-paced, iterative environment Loves solving problems creatively and making learning experiences smarter and more engaging Key responsibilities Collaborate with internal subject matter experts (SMEs) and key stakeholders to design and deliver effective blended learning programs that align with business goals Apply principles of andragogy and evidence-based instructional design to create engaging, learner-centric experiences for adult professionals Design and curate blended learning solutions using a mix of learning formats (e.g., eLearning, self-paced modules, virtual training sessions, and on-the-job activities) Ensure instructional consistency, accessibility, and relevance of content across delivery modes Leverage generative AI tools, including designing and deploying custom GPTs, to support learning Manage project timelines, resources, and communication workflows to ensure the timely and organized execution of learning initiatives What we offer A dynamic and supportive team environment focused on innovation in learning. Meaningful involvement in training initiatives with global impact. Career growth potential within a fast-paced, purpose-driven team. Access to cutting-edge e-learning tools and approaches. Access to high-quality professional development resources and marketing insights. If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you! We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.