A technology company in Dublin is seeking an experienced software engineer to join their Inference team. The role involves building and maintaining critical AI systems that serve numerous users worldwide. Candidates should have significant experience with distributed systems, as well as a solid grasp of Kubernetes and cloud infrastructure. The ideal applicant will also possess a Bachelor's degree in a related field. We offer competitive compensation and promote a hybrid working model. #J-18808-Ljbffr
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: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next‑generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Strong candidates may also have experience with: Implementing and deploying machine learning systems at scale Load balancing, request routing, or traffic management systems LLM inference optimization, batching, and caching strategies Kubernetes and cloud infrastructure (AWS, GCP) Python or Rust You may be a good fit if you: Have significant software engineering experience, particularly with distributed systems Are results‑oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Want to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Representative projects across the org: Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production‑grade deployment pipelines for releasing new models to millions of users Integrating new AI accelerator platforms to maintain our hardware‑agnostic competitive advantage Contributing to new inference features (e.g., structured sampling, prompt caching) Analyzing observability data to tune performance based on real‑world production workloads Managing multi‑region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is 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. Our total compensation package for full‑time employees includes equity and benefits. Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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. #J-18808-Ljbffr
A leading AI technology company is seeking an EMEA Nonprofit Account Executive to drive revenue growth by securing partnerships across nonprofit organizations in EMEA. The ideal candidate will have 5+ years of sales experience, specifically in Portuguese-speaking contexts, and expertise in navigating complex procurement processes. Responsibilities include winning new business, executing sales strategies, and building relationships while ensuring compliance with GDPR. Competitive salary ranges from €205,000 to €250,000 EUR, offering remote options within the UK/EU for exceptional candidates. #J-18808-Ljbffr
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 EMEA Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organisations across Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across programme delivery, fundraising, research, and operations. This role requires deep understanding of the diverse nonprofit landscape across EMEA, including international development organisations (INGOs), humanitarian agencies, foundations, and charitable trusts. You'll navigate varying regulatory frameworks, data protection requirements (including GDPR), and cultural contexts while building relationships across multiple time zones and languages. The ideal candidate will be an exceptional salesperson with experience selling into EMEA markets — and specifically into Portuguese-speaking contexts — a passion for developing new market segments, and the ability to operate autonomously while partnering closely with SF-based teams. By driving deployment of Anthropic's emerging products in the EMEA nonprofit sector, you will help organisations amplify their social impact while advancing the ethical development of AI. Responsibilities Win new business and drive revenue for Anthropic within EMEA nonprofit organisations, including INGOs, foundations, charitable trusts, and social enterprises. Own the full sales cycle from first outbound to launch, managing complex procurement processes across multiple jurisdictions Design and execute innovative sales strategies tailored to EMEA market dynamics, regulatory environments, and cultural contexts. Analyse market landscapes across UK, EU, and emerging markets to translate high-level plans into targeted sales activities Navigate complex stakeholder ecosystems including executive directors, trustees, programme officers, IT departments, and procurement committees across multiple geographies, building consensus in organisations with federated or matrix structures Serve as the regional expert on EMEA nonprofit market dynamics, regulatory requirements, and competitive landscape. Provide insights that strengthen our value proposition and inform product roadmaps for international deployments Build strategic relationships with EMEA nonprofit technology platforms, consultants, sector networks (e.g., Bond, NCVO, European Foundation Centre), and sector influencers to expand market reach Partner effectively with SF-based teams across time zones, contributing to global sales methodology development while adapting playbooks and best practices for EMEA markets Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, processing locations, and privacy frameworks You May Be a Good Fit If You Have 5+ years of experience prospecting and closing leads in EMEA markets, with particular focus on Portuguese-speaking markets (Portugal, Lusophone Africa — Angola, Mozambique, Cape Verde) and broader European market contexts Proven ability to manage complex, multi-country sales cycles and navigate varying procurement frameworks, budget cycles, and approval processes across EMEA Experience managing six-figure enterprise deal cycles Experience selling to organisations with federated structures, matrix decision-making, or multi-entity governance (e.g., international federations, umbrella organisations) Strong understanding of GDPR and data protection requirements, with ability to address customer concerns about AI, data processing, and privacy Demonstrated history of exceeding quota while operating autonomously across time zones with limited direct supervision Excellent communication skills with ability to adapt style across cultural contexts and present confidently to stakeholders from diverse backgrounds Fluency in English required; native or professional fluency in Portuguese (European or Brazilian) required. Proficiency in additional languages (Spanish, French) a plus. Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly Interest in or passion for social impact and mission-driven work Strong Candidates May Also Have Experience selling to or working with EMEA nonprofit organisations, INGOs, foundations, or government/bilateral agencies (e.g., FCDO, GIZ, EU institutions) Understanding of international development funding mechanisms, including institutional donors, bilateral agencies, and European foundation giving Familiarity with nonprofit technology ecosystems popular in EMEA, including CRMs (Salesforce NPSP, Blackbaud, CiviCRM), and platforms like Raiser's Edge Active involvement in the EMEA nonprofit community through board service, volunteering, or prior employment Experience navigating complex procurement with major INGOs (e.g., Save the Children, Oxfam, MSF, IRC) or large UK charities Understanding of specific nonprofit verticals in EMEA contexts (humanitarian, development, environment, health, migration) Existing network within Lusophone nonprofit, INGO, or social sector communities strongly preferred Logistics Location: London preferred. Remote within UK/EU considered for exceptional candidates. Travel: up to 40% travel within EMEA for customer meetings and events; quarterly travel to SF headquarters expected. Time Zone Coverage: Must be able to maintain regular overlap with SF-based teams (typically 4–5 hours daily). Education: Bachelor's degree or equivalent experience. Visa Sponsorship: We sponsor visas where possible and retain immigration support for successful candidates. Annual Salary €205,000—€250,000 EUR Benefits 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. #J-18808-Ljbffr
An AI research organization in Dublin is seeking an experienced Order Management professional to enhance our order management processes. This pivotal role involves driving billing operations, resolving complex billing scenarios, and collaborating across functions to improve financial infrastructure. Candidates should have 7+ years in billing/order management, a Bachelor's in a related field, and strong skills in SaaS processes. Join us to make a significant impact in AI development while working at the forefront of this innovative space. #J-18808-Ljbffr
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Role We're seeking an experienced Order Management professional to join our International Revenue Accounting Team. In this pivotal role, you'll spearhead the development and scaling of our International order management processes while solving complex, cross‑functional challenges. You'll collaborate across the organization to drive critical financial infrastructure improvements. If you're passionate about making a significant impact at an innovative company at the forefront of AI development, join us in our mission to build cutting‑edge, safe AI systems. Responsibilities Core Operations & Financial Management Drive aspects of order management and billing operations, ensuring accuracy, completeness, and timeliness Independently resolve complex billing scenarios, including contract modifications, usage disputes, and non‑standard pricing structures Lead comprehensive User Acceptance Testing (UAT) for new product launches and influence product introduction processes by providing expert guidance on billing and order management implications Support monthly accounting close activities, including contract review, usage validation, invoice verification, journal entries, and analytics Develop and track operational metrics to support strategic decision‑making Support global business operations and international customer requirements Strategic Partnerships & Collaboration Collaborate closely with other pillars of the Revenue Accounting and Operations Team, including Revenue Accounting, Technical Revenue Accounting, and AR & Collections Cultivate strategic partnerships with cross‑functional teams across the Quote‑to‑Cash ecosystem, including GTM, Legal, Tax, Billing Engineering, and Finance Systems Process & System Optimization Identify and implement process improvements to enhance efficiency, scalability, and overall customer experience Partner with vendors to optimize billing systems, evaluate new features, and implement innovative solutions Independently own the end‑to‑end RFP process and implementation of new systems in the order management domain, from initial requirements gathering through selection, deployment, and integration Compliance, Controls & Documentation Establish and maintain robust controls and segregation of duties within order management and billing operations Support audit requirements by preparing documentation and addressing inquiries Develop and maintain documentation for team processes and procedures You May Be a Good Fit If You Have Bachelor's degree in Accounting, Finance, or related field 7+ years of progressive experience in Billing/Order Management within high‑growth SaaS/technology companies, including 5+ years in a reviewer role Working knowledge of ASC 606 revenue recognition principles. Expert understanding of Quote‑to‑Cash processes for SaaS, covering both subscription and consumption‑based business models across B2B and B2C products Extensive experience with contracting systems, billing platforms, payment processors, and ERP systems (e.g., Salesforce, Stripe, NetSuite, Oracle, Workday Financial, Zuora) Proven track record leading large‑scale strategic initiatives end‑to‑end, in high growth technology environments Outstanding communication and interpersonal skills Demonstrated ability to build relationships with diverse stakeholders and influence without direct authority Strong Candidates May Also Have Professional accounting qualification (ACA, ACCA, CIMA or equivalent) Exceptional organizational skills with meticulous attention to detail Proactive problem‑solver who can identify opportunities for process optimization Adaptability to thrive in fast‑paced, ambiguous environments Data‑driven approach to business process development; SQL and database experience a plus Experience with third‑party marketplace integrations (AWS, GCP, Azure) Proven ability to provide guidance, mentorship, and project leadership to team members and contractors 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 €140.000—€170.000 EUR Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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. Safety 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. #J-18808-Ljbffr
A leading AI development company in Dublin is seeking an experienced Order Management professional to join their International Revenue Accounting Team. This pivotal role focuses on developing scalable order management processes while addressing complex challenges and improving financial infrastructure. Candidates should have extensive experience in SaaS environments, strong communication skills, and a proactive approach. This position offers competitive compensation between €140,000 and €170,000, hybrid working, and opportunities for significant impact in innovative AI systems. #J-18808-Ljbffr
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an experienced Order Management professional to join our International Revenue Accounting Team. In this pivotal role, you'll spearhead the development and scaling of our International order management processes while solving complex, cross‑functional challenges. You'll collaborate across the organization to drive critical financial infrastructure improvements. If you're passionate about making a significant impact at an innovative company at the forefront of AI development, join us in our mission to build cutting‑edge, safe AI systems. Responsibilities Drive aspects of order management and billing operations, ensuring accuracy, completeness, and timeliness Independently resolve complex billing scenarios, including contract modifications, usage disputes, and non‑standard pricing structures Lead comprehensive User Acceptance Testing for new product launches and influence product introduction processes by providing expert guidance on billing and order management implications Support monthly accounting close activities, including contract review, usage validation, invoice verification, journal entries, and analytics Develop and track operational metrics to support strategic decision‑making Support global business operations and international customer requirements Collaborate closely with other pillars of the Revenue Accounting and Operations Team, including Revenue Accounting, Technical Revenue Accounting, and AR & Collections Cultivate strategic partnerships with cross‑functional teams across the Quote‑to‑Cash ecosystem, including GTM, Legal, Tax, Billing Engineering, and Finance Systems Identify and implement process improvements to enhance efficiency, scalability, and overall customer experience Partner with vendors to optimize billing systems, evaluate new features, and implement innovative solutions Independently own the end‑to‑end RFP process and implementation of new systems in the order management domain, from initial requirements gathering through selection, deployment, and integration Establish and maintain robust controls and segregation of duties within order management and billing operations Support audit requirements by preparing documentation and addressing inquiries Develop and maintain documentation for team processes and procedures Qualifications Bachelor's degree in Accounting, Finance, or related field 7+ years of progressive experience in Billing/Order Management within high‑growth SaaS/technology companies, including 5+ years in a reviewer role Working knowledge of ASC 606 revenue recognition principles Expert understanding of Quote‑to‑Cash processes for SaaS, covering both subscription and consumption‑based business models across B2B and B2C products Extensive experience with contracting systems, billing platforms, payment processors, and ERP systems (e.g., Salesforce, Stripe, NetSuite, Oracle, Workday Financial, Zuora) Proven track record leading large‑scale strategic initiatives end‑to‑end, in high growth technology environments Outstanding communication and interpersonal skills Demonstrated ability to build relationships with diverse stakeholders and influence without direct authority Strong candidates may also have Professional accounting qualification (ACA, ACCA, CIMA or equivalent) Exceptional organizational skills with meticulous attention to detail Proactive problem‑solver who can identify opportunities for process optimization Adaptability to thrive in fast‑paced, ambiguous environments Data‑driven approach to business process development; SQL and database experience a plus Experience with third‑party marketplace integrations (AWS, GCP, Azure) Proven ability to provide guidance, mentorship, and project leadership to team members and contractors Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. #J-18808-Ljbffr
A leading AI research company in Dublin is seeking a Product Support Manager to lead a team of specialists and enhance their Enterprise Support offerings. The role involves hiring and developing a performance-driven team, monitoring operations, and ensuring clients receive exceptional service. Ideal candidates are experienced in product support and people management, with strong problem-solving and data-driven decision-making skills. The position embraces a hybrid work model requiring time in the office. #J-18808-Ljbffr
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring a Product Support Manager in Dublin to manage a team of Product Support Specialists and focus on enhancing our Enterprise Support offering. In this role, you’ll be responsible for building and managing a happy and high‑performing Specialist team that is at the front lines of safely delivering AI to the world. As part of a global Support organization, you’ll collaborate closely with peers in other regions to ensure users of all types have a great experience with Anthropic’s products. Responsibilities Hire, lead, and develop a team of happy, high‑performing Product Support Specialists Provide thoughtful coaching and feedback to your direct reports, and partner with them on their career development goals and growth Monitor team performance and course‑correct both in real‑time and strategically as needed Manage day‑to‑day team operations, including proactive capacity management and ad hoc unblocking of your Specialists as they action their daily work Partner with peer leaders in other regions to ensure consistent global support delivery in routine casework as well as on‑call or high‑urgency responsibilities Work closely with go‑to‑market (GTM) stakeholders to scope, execute, and iterate upon our offerings for our most strategic customers; interact with these internal users daily Drive large‑scale initiatives that raise the bar for our organization, leveraging data to make decisions and with a keen understanding of broader business goals Continuously strive for exceptional user experiences, with a focus on high‑touch Enterprise Support Partner with cross‑functional stakeholders across the organization to build efficiencies and improve user experience Communicate clearly and effectively with your team, stakeholders, and external customers You may be a good fit if you: Have 6+ years of product support experience and 3+ years in a people management role Have been part of a B2B Enterprise or Strategic Support team (as a bonus, you also understand the needs of Consumer, scaled support users) Thrive in a fast‑paced, ever‑changing environment, and have demonstrated success in bringing your team along during periods of rapid growth Successfully operate in ambiguity, practicing good judgment and awareness of broader priorities in order to make decisions and get things done Care deeply about continuous improvement and elevating ambitions in the name of user experience Enjoy building trust and collaborating closely with cross‑functional partners Can capably navigate tough conversations, empathetically driving solutions and steps forward Value regularly seeking, providing, and incorporating feedback when it comes to the way you and your team operate Are interested in developing deep product expertise in order to comprehensively support your team and knowledgeably role‑model user‑first behaviors Prefer to use data to make decisions or advocate for users, and know your way around basic to intermediate SQL queries Consider yourself at least somewhat knowledgeable with APIs and capable of confidently understanding technical documentation in order to help debug errors Are comfortable working with a globally distributed team and building strong remote and in‑office relationships Are excited about Anthropic’s products and already familiar with some of the ways AI can have a positive impact on your work 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 working 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. 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. As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr
