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Location: Seoul, South Korea 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 In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Korea. This role is critical to Anthropic's APAC expansion. You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Korea. The ideal candidate will have a deep understanding of Korean business culture, a passion for developing people, and the ability to navigate Korea's relationship-driven, conglomerate-centric enterprise sales environment. Key responsibilities Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Korean enterprise buying cycles and decision-making processes Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails Build strong partnerships across the organization to drive strategic initiatives Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across enterprise segments, including Korea's large conglomerates and fast-growing digital-native companies Help your team navigate complex enterprise stakeholder ecosystems including executives, IT departments, and procurement offices to build alignment Preferred qualifications 15+ years of enterprise sales experience, preferably driving adoption of SaaS or emerging technologies 5+ years of sales leadership experience within the Enterprise segment Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations Strong technical acumen with ability to enable credible AI conversations Track record of successful partnership with technical teams throughout the customer journey Deep understanding of enterprise buying cycles, procurement frameworks, and common pain points across industries Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives Experience managing complex enterprise sales cycles and helping AEs secure strategic deals Excellent communication skills and ability to build relationships across all levels, from individual contributors to C-suite executives Strategic approach to market analysis combined with tactical excellence in execution Passion for AI technology and commitment to its safe, responsible development Business-level Korean required; English proficiency strongly preferred 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: Remote Workplace: Remote COMPANY At 0x https://0x.org/, our mission is to "Create a Tokenized World Where All Forms of Value Can Flow Freely". We deliver this to web3 builders with a delightfully simple suite of developer APIs that provide faster trading, better prices, and superior user experience. Founded in 2017, we’ve processed over 211M+ transactions and $180B+ in trading volume from users trading on Matcha, Coinbase Wallet, Robinhood Wallet, Phantom, Rainbow, DefiLlama, MetaMask, Zerion, Zapper, and many more. Our investors include Greylock Partners, Pantera Capital, and Jump Crypto. When you join 0x, you’ll become part of a veteran team of crypto builders who know the importance of code quality, team cohesion, and a culture of learning. ABOUT THE ROLE We're looking for a Senior Product Manager to work directly with our CEO across our suite of trading APIs and new product initiatives. This is a hands-on IC role on a lean product team. You'll be deep in the data, close to customers, and working alongside engineers from concept through to launch. This suits a strategic operator with a founder mentality. You take ownership, default to action, and drive things end to end without waiting for explicit instructions. When the data is incomplete, you form a thesis and validate it with prototypes, fast experiments, and tight iterations. WHAT YOU'LL DO - Own strategy and roadmap for your product area - an existing set of our trading APIs or a net-new initiative - Form your product ideas and decisions from three independent sources, not one: - What customers tell you. Have regular check-ins with them, analyze their metrics, understand their pain points and what they're building next - What customers can’t tell you. Dig into onchain and internal data to spot gaps in our performance, shifts in the competitive landscape, and emerging opportunities - What you see yourself. You're plugged into DeFi and active in trading communities. You know firsthand what works and what doesn't - Be a true partner to our engineering leads - reason through hard problems with them, weigh the tradeoffs, and decide what's worth building - Partner with GTM on positioning and driving adoption - Work directly with the CEO and leadership to help shape product direction WHO YOU ARE - 6+ years in product, or the equivalent as a founder, GM, or trader who moved into building - Shipped B2B, API, or infra products with real adoption and revenue - Data-driven - you build your own Dune dashboards and dig into API performance and internal analytics in Grafana, Metabase, or similar - Technically fluent - you hold your own with engineers on routing, execution quality, latency, and whatever else the problem demands - DeFi-native - onchain trading, perps, dex aggregation. You're the user you're building for - Expert AI user - you run agents, automate your workflows, and build tooling that multiplies your output - You exhibit our core values: https://0x.org/post/the-0x-mission-and-valuesdo the right thing, consistently ship, and focus on long-term impact - Able to attend annual in-person team offsites around the globe NICE TO HAVE - Founded a company or was an early builder at a technology startup - taking a product from zero to one - CS background, or an ex-engineer who moved into product - Strong experience in EVM and/or Solana ecosystems - Strong understanding of financial markets - Experience mentoring or up-leveling other PMs BENEFITS - The base salary range for this position is USD $170,000 - $270,000 + equity + ZRX tokens + benefits. Within the range, individual pay is determined by job-related skills, experience, location, business needs, and candidate preferences between the different compensation elements. - Comprehensive insurance (medical/dental/vision/life/disability) for U.S.-based employees — 100% of base plan covered for you and dependents - 401k and FSA for U.S.-based employees - Monthly mobile phone bill, wellness, and pre-tax transportation expense - Covered mental health benefits (included professional therapy sessions) - A supportive remote environment - Lunch reimbursement for all employees across the globe! - Stipend for your ideal remote / WFH set-up: headphones, and any other work gear you may need - 12-week paid parental leave - Great office conveniently located in the SF Financial District for those in the region! - Flexible vacation: Take time when you need it (and we really mean it!) 0x and its associated entities are dedicated to fostering diversity, inclusion, and belonging in its teams and workforce, and are proud to be equal opportunity employers. 0x does not make employment or hiring decisions on the basis of race, color, creed, religion, sex (including those who are pregnant or have given birth), sexual orientation, gender, gender expression or identity, age, disability, medical condition, genetic information, military or veteran status, marital status, pregnancy, citizenship, national origin, immigration or citizenship status, political affiliation, or any other basis that is protected by applicable local, state, or federal laws. This includes not making such decisions based on the status itself, as well as any associations, perceptions, and assumptions made regarding these statuses. 0x will also consider qualified applicants with arrest and conviction records in a way that is consistent with San Francisco’s Fair Chance Ordinance and similar local laws. Our commitment to equal employment opportunity extends to ensuring that all applicants and employees can perform to their fullest potential, including through obtaining reasonable accommodations when necessary.

Location: Boston, MA; Remote-Friendly (Travel-Required) | 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 The Endpoint team (Client Platform Engineering) manages the laptops and handsets every Anthropic employee works on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and every piece of configuration ships as code through pull requests, CI, staging, and a canary group. Today the mobile side of the fleet is BYOD. This role exists to change that. You will design and implement a corporate-issued mobile device program (managed company phones and managed Apple accounts) in every region Anthropic operates in, and take it from early design to production. The team is deliberately lean and runs with high autonomy. You’ll define what a corporate mobile program looks like at Anthropic and own the platform decisions that get it there. Responsibilities Design the corporate-issued mobile device program: device standards, what we issue to whom, and how the program grows from a first region to everywhere Anthropic operates Own the global logistics of issuing hardware: procurement partners, regional coverage, spares, and refresh cycles Bring mobile configuration into the team’s config-as-code pipeline so mobile policies are reviewed, tested, and progressively rolled out like the rest of the fleet Build zero-touch enrollment: Apple Business Manager and ADE with managed Apple accounts on iOS, the zero-touch equivalent on Android, so a new phone works the first time without hands-on setup Own policy, compliance, and device lifecycle for the corporate fleet, from issue to wipe Build telemetry on the corporate fleet: which devices are checking in, OS and patch state, drift between reported and actual state Own managed app distribution for mobile, from app approval through update rollout Partner with Corporate Security on device posture, device trust signals, and travel devices for international trips Decide how corporate-issued and BYOD coexist, and own that boundary as the program rolls out You may be a good fit if you Have owned a global or multi-region mobile device program end to end, with 8+ years managing corporate fleets at thousands-of-devices scale Go deep on iOS device management: enrollment flows, Apple Business Manager and ADE, APNs and certificate lifecycle, declarative device management Have worked with Android device management and can hold your own in a mixed fleet Treat device configuration as code and have moved past clicking in consoles Have run the infrastructure under an MDM, not just administered a SaaS console: a self-hosted MDM server, AWS, Terraform, and configuration that ships as code Have built or launched a corporate device program, not just operated one, and can decide how it coexists with BYOD Excel at ambiguous problems that touch several teams at once Communicate technical concepts clearly to any audience View IT Engineering as requiring product engineering rigor Write clear documentation as a natural part of your workflow Strong candidates may also Have managed ChromeOS devices alongside a mobile fleet Have run a device program across multiple regions and dealt with the logistics that come with it Have built automated, progressive rollout systems with promotion gated on telemetry Bring proficiency in Swift for building device tooling Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills Python and shell scripting iOS and Android platform internals (depth on iOS, working knowledge of Android) Modern MDM or UEM platforms (Jamf, Intune, Workspace ONE, or equivalent) Running the infrastructure under an MDM (self-hosted servers, AWS GCP, Terraform) Querying live device state at fleet scale Mobile device lifecycle automation (enrollment, policy, patching, app distribution) GitOps and CI for configuration management Endpoint security fundamentals 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: Austin, TX | Remote-Friendly, United States; Boston, MA; New York City, NY; San Francisco, CA; 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 As the Head of State and Local Government Sales at Anthropic, you'll lead and scale our state and local government sales organization to drive the adoption of safe, frontier AI across state agencies, counties, cities, and other local government entities throughout the United States. You'll leverage your deep understanding of state and local government operations and proven sales leadership expertise to build a high-performing team while establishing strategic relationships with key states, municipalities, and public sector partners. Working closely with GTM, product, and marketing teams, you'll define and execute our go-to-market strategy for the state and local government sector while maintaining the highest standards of security and compliance. Key responsibilities Build, lead, and scale a state and local government sales team, including hiring top talent, setting clear performance expectations, and providing ongoing coaching and development Develop and execute comprehensive go-to-market strategies for state and local government, including territory design, market segmentation, competitive positioning, and revenue forecasting across a large and geographically distributed customer base Own overall state and local government revenue targets and ensure team performance against quotas, while providing visibility into pipeline health and deal progression Establish and cultivate relationships with governors' offices, state CIOs, agency executives, and city and county leadership, serving as Anthropic's senior point of contact for strategic engagement while empowering your team to own day-to-day customer relationships Win new business across state and local government by helping state agencies, counties, and cities integrate AI into their technology stacks and constituent-facing and back-office workflows to accelerate delivery and improve service outcomes Establish and refine sales processes, methodologies, and playbooks specific to state and local procurement, including cooperative purchasing agreements, statewide contracts, RFP/RFI processes, and state-specific compliance requirements Build and manage strategic relationships with cloud service providers, system integrators, and resellers to create scalable go-to-market motions across the state and local market Synthesize market feedback and customer insights to inform product roadmap and competitive strategy, working closely with product and marketing teams Partner with legal, compliance, and delivery teams to ensure successful contract execution and customer satisfaction Implement metrics, reporting, and performance management systems to drive team accountability and continuous improvement Represent Anthropic at industry events and with key stakeholders, establishing our brand as the trusted AI partner for state and local government Minimum qualifications 15+ years of enterprise sales experience with 5+ years managing state and local government sales teams, with a proven track record of scaling revenue and building high-performing organizations Deep understanding of state and local government missions, budget and legislative cycles, modernization initiatives, and technology adoption patterns across multiple states and municipalities Demonstrated ability to hire, develop, and retain top sales talent while creating a culture of performance and accountability Experience developing and executing go-to-market strategies for emerging technologies in the state and local government space Extensive experience with state and local contracting vehicles, cooperative purchasing agreements, procurement mechanisms, and compliance requirements such as StateRAMP, CJIS, and state-specific data privacy standards Strong track record of consistently exceeding team revenue targets and building predictable, scalable sales motions across a high-volume, distributed territory Proven ability to build and manage strategic channel partnerships and ecosystem relationships, including cloud providers, system integrators, and resellers Excellent communication and relationship-building skills across all levels, from technical teams to state CIOs, agency executives, and elected and appointed officials Experience implementing sales methodologies, CRM systems, and performance management processes A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts and build trust with state and local stakeholders Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $550,000 — $700,000 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: 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 As the Head of National Security Sales (DoW/IC) at Anthropic, you'll lead and scale our national security sales organization to drive the adoption of safe, frontier AI across the Department of War and the Intelligence Community. You'll leverage your deep understanding of defense and intelligence missions and proven sales leadership expertise to build a high-performing team while establishing strategic relationships with key defense and intelligence organizations. Working closely with GTM, product, policy, engineering and marketing teams, you'll define and execute our go-to-market strategy for the DoW and IC while maintaining the highest standards of security and compliance. Key responsibilities Build, lead, and scale a national security sales team covering the DoW and IC, including hiring top talent, setting clear performance expectations, and providing ongoing coaching and development Develop and execute comprehensive go-to-market strategies for the DoW (including the military services, combatant commands, OSW, and defense agencies) and the IC, including market segmentation, competitive positioning, and revenue forecasting Anchor the team's work in mission impact: prioritize opportunities where safe, frontier AI materially changes how commands and agencies plan, analyze, and operate, and measure success by outcomes delivered to those who serve Own overall national security revenue targets and ensure team performance against quotas, while providing visibility into pipeline health and deal progression Win new business across the DoW and IC by helping commands, components, and agencies integrate AI into their technology stacks and mission workflows to accelerate delivery and mission outcomes Establish and refine sales processes, methodologies, and playbooks specific to DoW and IC procurement, including FAR/DFARS compliance, classified and unclassified contracting pathways, and agency-specific security and accreditation requirements Build and manage strategic relationships with cloud service providers, systems integrators, and Defense Industrial Base partners to create scalable go-to-market motions across classified and unclassified environments Synthesize market feedback and customer insights to inform product roadmap and competitive strategy, working closely with product and marketing teams Partner with legal, compliance, security, and delivery teams to ensure successful contract execution and customer satisfaction Maintain visibility and relationships with senior military, civilian, and IC leadership while empowering your team to own day-to-day customer relationships Implement metrics, reporting, and performance management systems to drive team accountability and continuous improvement Represent Anthropic at industry events and with key stakeholders, establishing our brand as the trusted AI partner for the national security community Minimum qualifications 15+ years of enterprise sales experience with 5+ years managing sales teams selling into the DoW and/or IC, with a proven track record of scaling revenue and building high-performing organizations Demonstrated ability to build, maintain, and leverage senior military, civilian, and leadership relationships across the DoW and IC—with an existing network of contacts across the national security community strongly preferred Deep understanding of DoW and IC missions, organizational structures, modernization initiatives, and technology adoption patterns across multiple services, commands, and agencies Active security clearance (TS/SCI required) with ability to discuss capabilities in classified environments Demonstrated ability to hire, develop, and retain top sales talent while creating a culture of performance and accountability Experience developing and executing go-to-market strategies for emerging technologies in the national security space Extensive experience with defense and intelligence contracting vehicles, procurement mechanisms (including OTAs and IDIQs), and compliance and accreditation requirements such as FAR/DFARS, FedRAMP, and DoW Impact Levels Strong track record of consistently exceeding team revenue targets and building predictable, scalable sales motions Proven ability to build and manage strategic channel partnerships and ecosystem relationships, including cloud providers, systems integrators, and Defense Industrial Base primes Excellent communication and relationship-building skills across all levels, from technical teams to senior military, civilian, and IC leadership Experience implementing sales methodologies, CRM systems, and performance management processes A passion for safe and ethical AI development, with the ability to articulate its importance in national security contexts and build trust with DoW and IC stakeholders Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $550,000 — $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone. What you'll do: Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features Build tools that maximize autonomy and creative freedom for less-technical users Make product and prioritization decisions, not just execute on specs handed to you Iterate quickly based on feedback to continuously improve the user experience Pick up new tools, frameworks, and domains as the product evolves You may be a good fit if you: Have 6+ years of experience building production software, ideally full-stack Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way Think in systems and abstractions—you see the platform behind the feature request Care about empowering users, not just building for them Own outcomes, not just code—you care whether the thing you built actually solved the problem Are comfortable making decisions with incomplete information and operating with ambiguity Hold yourself to a high bar without needing external pressure Strong candidates will have: Proficiency across the stack (we use Python, TypeScript, React) Experience building platforms, primitives, or internal tools that others build on top of A track record of shipping products independently—not just contributing to larger efforts 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: £255,000 — £325,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone. What you'll do: Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features Build tools that maximize autonomy and creative freedom for less-technical users Make product and prioritization decisions, not just execute on specs handed to you Iterate quickly based on feedback to continuously improve the user experience Pick up new tools, frameworks, and domains as the product evolves You may be a good fit if you: Have 6+ years of experience building production software, ideally full-stack Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way Think in systems and abstractions—you see the platform behind the feature request Care about empowering users, not just building for them Own outcomes, not just code—you care whether the thing you built actually solved the problem Are comfortable making decisions with incomplete information and operating with ambiguity Hold yourself to a high bar without needing external pressure Strong candidates will have: Proficiency across the stack (we use Python, TypeScript, React) Experience building platforms, primitives, or internal tools that others build on top of A track record of shipping products independently—not just contributing to larger efforts 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced IP Counsel to help protect some of the world's fastest-growing technology brands. In this role, you will share ownership of Anthropic's global trademarks and domains practice, spanning clearance, prosecution, portfolio management, and enforcement, partnering closely with other members of our IP team, outside counsel, and business teams. Anthropic's brands are among its most valuable assets, and you will help protect them at the pace the AI industry moves. Our trademark practice spans a rapidly growing global portfolio, a high-volume enforcement program, and naming decisions for some of the most visible products in technology. This is a hands-on role for an attorney with deep trademark expertise who wants their work to matter and who is aligned with Anthropic's mission of responsible AI development. Key responsibilities Run trademark clearance for new model, product, and feature names, delivering clear, risk-rated recommendations that let teams move quickly and confidently Manage global trademark prosecution and portfolio strategy in coordination with outside counsel, including filing strategy, office actions, and portfolio maintenance across many jurisdictions Lead trademark and domain enforcement end to end: assess potential infringements, select the right enforcement mechanism, work with outside counsel as necessary, and drive matters to resolution Help oversee our online brand protection program, working with our external vendor and IP Legal Specialist to action infringements and impersonations at scale Manage domain portfolio strategy, including acquisitions, disputes, and recovery Respond to inbound trademark demands and support trademark-related litigation Counsel marketing, product, and go-to-market teams on brand usage and naming, translating IP risk into practical guidance Build the playbooks and processes that let a lean team run a world-class global brand protection practice Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Have substantial trademark and domain practice experience spanning clearance, prosecution, portfolio management, and enforcement Have current, hands-on experience: running clearances, shape filing strategies, and make enforcement calls yourself Have managed global trademark and domain portfolios, including UDRP proceedings and online enforcement Exercise sound judgment about which matters to pursue, and can explain that reasoning clearly to lawyers and non-lawyers alike Work collaboratively with legal colleagues, outside counsel, and business partners, and are motivated by the work itself Preferred qualifications 10+ years of trademark and domain practice Prior in-house experience at a technology company, with a track record of partnering with business teams to enable speed in a risk-adjusted way Experience protecting brands in AI or other rapidly evolving technology fields Experience building or scaling high-volume enforcement and takedown programs Experience navigating brand disputes with commercial, community, or publicity dimensions 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: $335,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Startups Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with some of the fastest growing startups in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the 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: 4+ years of experience prospecting and closing startup leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $222,800 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Data Center Transaction Principal, Europe About the role As a Transaction Principal for Europe at Anthropic, you'll drive the commercial sourcing and transaction execution process for our European data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems across Europe — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Europe market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution, and doing so across multiple countries with distinct regulatory, power, and development dynamics. Responsibilities Lead the RFP and commercial sourcing process for European data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross-functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly Marry the right projects, capital stacks, and developers at the right stages Navigate country-specific permitting, grid connection, and regulatory requirements that vary significantly across European markets Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint across the region Partner with the Compute Markets Manager to prioritize markets, sites, and counterparties, and feed deal learnings back into Europe market strategy You may be a good fit if you Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions Have experience working in or across European markets, with knowledge of the regional data center and development landscape — including established FLAP-D hubs and emerging markets like the Nordics and Southern Europe Are comfortable operating across multiple countries with different legal frameworks, languages, and business cultures Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution Demonstrate exceptional communication skills and can coordinate effectively across time zones with US-based HQ teams and distributed European partners It's a bonus if you Have experience with data center or hyperscale infrastructure transactions specifically Come from the development side of the industry rather than traditional brokerage/leasing — you understand how DC development works and how value is created (yield-on-cost, cap rates, development fees) Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements across multiple European jurisdictions Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the European context (fragmented national power markets, grid connection queues, renewable PPAs, sustainability and efficiency regulations) Have familiarity with data sovereignty and regulatory considerations that influence European site selection Have relationships within the European data center developer, operator, and broker ecosystem Have a background in corporate development, strategic partnerships, or infrastructure investment Have experience in high-growth technology companies managing infrastructure expansion 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: £1 — £1 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Transaction Manager at Anthropic, you'll drive the commercial sourcing and transaction execution process for our data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems, requiring you to bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams. Responsibilities Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts. Lead the RFP and commercial sourcing process for specific data center deals, managing developer outreach, proposal evaluation, and competitive selection processes Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance organization to ensure alignment prior to lease execution Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms You may be a good fit if you Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization It's a bonus if you Have experience with data center or hyperscale infrastructure transactions specifically Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements Possess familiarity with data center developer ecosystems and market dynamics Have experience in high-growth technology companies managing infrastructure expansion Understand utility coordination, power procurement, or energy considerations in data center transactions Have a background in corporate development, strategic partnerships, or infrastructure investment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States 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 Training and serving frontier AI models requires data center capacity at a scale and pace that conventional delivery models were not built for. Anthropic's Data Center Capacity Delivery team embeds with developers, general contractors, and third-party partners to take leased and partnered sites from deal close through floor access and operational handover as fast as they can safely be built. As the Reporting and Controls Lead, you'll own the single view of where every project in the delivery portfolio stands: consolidated milestone tracking from early floor access through floor access and ready-for-service, the integrity of the data behind it, and the capacity projections leadership plans against. You'll build and run the reporting the delivery team and executives rely on, and chase down the schedule and data discrepancies it surfaces. This is a highly cross-functional role: you'll work with Senior Delivery Managers and Regional Managers in the field, our third-party project-management partners, and the planning, transaction, design, and deployment teams whose inputs and outputs the portfolio schedule depends on. MOC (Mission + Outcomes + Competencies) Mission Give the delivery team and leadership one trustworthy view of where every project stands. Outcomes Consolidated milestone tracking (early floor access, floor access, RFS) current across all projects. Schedule and status data reconciled at the source. Portfolio capacity projections and variance to plan maintained. Delivery-review and executive reporting built; data-quality checks automated where possible. Competencies Project controls / scheduling on large capital programs. Portfolio-level, not single-job, reporting. Scheduling, spreadsheet, and BI tooling fluency. Identifying, qualifying, and packaging data driven insights that define project and portfolio health. Responsibilities Own consolidated milestone tracking across all active and upcoming delivery projects — early floor access, floor access, ready for service — and keep it current Validate schedule and status data from developers, GCs, and third-party partners; challenge what doesn't reconcile and fix it at the source Maintain portfolio capacity projections and the variance to plan behind them Build and maintain reporting for delivery reviews and executive updates Define the data standards and integrated-schedule and tooling conventions projects report against, with the Program Management Lead Automate reporting and data-quality checks where possible, including with AI-assisted tools You may be a good fit if you Have [7+] years in project controls, scheduling, or program reporting on large capital construction programs — data center, energy, or industrial Have run consolidated reporting across a multi-project portfolio, not a single job Are fluent in scheduling, spreadsheet, and BI tooling [e.g. Primavera P6, Excel, Power BI — confirm] Communicate clearly, in writing and in charts, to technical and executive audiences Are comfortable building the process while running it Strong candidates may also have Hyperscaler, colo, or developer-side program-controls experience Owner's-side cost controls or earned-value reporting experience Built planning or reporting tools leveraging AI-assisted development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States 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 is building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built. As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership. Representative projects Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition. Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions. Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required. Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor field failures/RMA. Bring manufacturing requirements and validation data into each development phase review so the engineering team has a single prioritized list of what to fix before the next build. You may be a good fit if you Have carried a hardware product from early builds through mass production at a contract manufacturer or ODM. Have set up or improved assembly and test processes at a manufacturing partner and drove yield, quality, and schedule commitments. Use structured manufacturing and root-cause methods (DFM, FMEA, SPC, 8D or similar) as a matter of habit, and are an expert at translating messy failure data into clear decisions. Can write a product-specific test plan and judge whether test coverage is sufficient. Communicate clearly with partner engineers and operations staff on the floor as well as with leadership in a readout. Are willing to travel to partner sites up to 50% of the time. Have a degree in Electrical, Mechanical, Industrial, or Materials Engineering, or equivalent practical experience. Strong candidates may also Have been the technical lead for a data center hardware program such as: server, storage, switch, rack, or accelerator. Have stood up a new manufacturing line or site, or brought up a second CM for an existing product. Have experience with liquid-cooled or high-power-density rack systems. Possess a Master's degree in a relevant engineering discipline. Have worked closely with sourcing and supply chain teams on component qualification and multi-sourcing strategies. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Manufacturing Engineer within the Data Center Infrastructure organization, you will own how Anthropic's servers, racks, and accelerator systems are built at our contract manufacturing and ODM partners. You will design and qualify the assembly, integration, and test processes for each product, bring up new lines and new sites, and drive yield, cycle time, and manufacturing cost once a product is in production. As a subject matter expert in electronics and rack-level manufacturing, you will give the design team early manufacturability feedback, set the process standards our partners build to, and be on the floor when a line is coming up or a yield problem needs solving. If you have built manufacturing processes for complex hardware at a CM or ODM, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable addressing issues on the line as you are presenting a vendor improvement plan to leadership. Responsibilities Include: Design and document the assembly, rack integration, and test process for new server and rack products, including work instructions, process flows, takt and cycle time targets, and line layout. Lead new line and new site bring-up at CM/ODM partners, from process validation and capacity verification through pilot builds and release to mass production. Specify, source, and validate tooling, fixtures, and test equipment. Own first-pass yield, cycle time, and process capability in production; run SPC, analyze failure and rework data, and drive corrective actions with manufacturing partners. Provide design-for-manufacturing and design-for-test feedback during product development and represent manufacturing in pilot build reviews. Qualify process changes and engineering changes on the line, including PFMEA updates, control plan revisions, and operator training, before changes are cut in. Replicate a qualified process from one line or site to another without a yield or throughput regression, and audit partner lines against Anthropic standards. Partner with product engineering, test engineering, quality, and supply chain to resolve systemic build issues and reduce per unit cost. You may be a good fit if you: Have 8+ years of experience in manufacturing engineering or process engineering for complex electromechanical or electronics products built at a contract manufacturer or ODM. Have designed and released a production process end to end, including line layout, work instructions, fixtures, and test, and owned its yield and cycle time in mass production. Have led a new line or site bring-up at a manufacturing partner. Are experienced with common manufacturing engineering tools such as: PFMEA, control plans, SPC, process capability, gauge R&R, DFM/DFT, and structured root cause methods such as 8D. Are comfortable on the factory floor and can diagnose a process problem through observation and analysis of factory telemetry. Communicate clearly with partner engineers and operators on the floor and with leadership in a readout. Can travel to partner manufacturing sites, domestic and international up to 50% of the time. Have a degree in Mechanical, Industrial, Manufacturing, or Electrical Engineering, or equivalent practical experience. It’s a bonus if you have: Experience manufacturing servers, racks, switches, or accelerator systems at data center scale. Experience with liquid-cooled rack integration, including cold plates, manifolds, CDUs, and leak and fill test processes. Experience with SMT and PCBA process, box build, and rack\-level system integration and test. Experience qualifying a second CM or second site for an existing product. Experience with lean and continuous improvement methods (value stream mapping, kaizen, Six Sigma) applied at a manufacturing partner. A Master's degree or better in a relevant engineering discipline. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll own our conventional weapons work. Defining a crisp boundary between acceptable and harmful requests in this domain is difficult, because the underlying components are dual-use: the same capabilities that serve civilian engineering and research can also contribute to a weapons system. Building the threat models, evaluations, and detection systems that hold that boundary is the core of this role. Conventional weapons are increasingly defined by software, and the risks reach well beyond firearms: from a model operating a weapons system or writing guidance code, to the weaponization of dual-use platforms. The role spans every weapon class, up to autonomous systems that select and engage targets without human authorization. You will help define the line between prohibited weapons development and legitimate research and engineering work, and how to operationalize the distinction. This will include translating technical judgment into principles that engineers can implement and enforcement teams can act on. Key responsibilities Own and maintain Anthropic's conventional weapons policy, defining the boundary between the activities our models should and should not support Build the threat models and evaluations that measure how our models could contribute to weapons development, including the software and autonomy components that define modern weapons systems, and keep them current as the technology and its misuse evolve Partner with engineering to turn the policy into model guardrails, detection systems, and enforcement tooling Serve as the subject-matter expert for escalations involving conventional weapons content, including rapid response to emerging risks Build shared understanding of the policy across product, engineering, legal, and leadership, communicating its reasoning to technical and non-technical audiences Engage external experts as well as government and industry partners, and translate that engagement into stronger policy and enforcement Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence into sound policy judgments Experience in a relevant setting, such as a service research laboratory, a defense research or innovation agency, or a company that designs or builds weapons systems Can write clear, operationally precise policy and explain complex technical topics to non-specialist audiences Understand the legal frameworks governing weapons and their transfer, and can craft policy that holds up across jurisdictions Can do rigorous technical analysis of weapons systems using only open sources Are comfortable with ambiguity and drawn to problems that have no established playbook Are motivated by preventing misuse without obstructing the legitimate work in the field Preferred qualifications A working understanding of machine learning and large language model fundamentals Hands-on engineering experience in a weapons-relevant technical domain, such as systems engineering, robotics and autonomy, guidance/navigation/control, sensors and signal processing, aerospace or mechanical engineering, materials and energetics, or embedded software Hands-on experience applying arms export controls (ITAR/EAR) or international arms-control regimes Experience building or evaluating classifiers, including LLM-based ones, and reasoning about precision and recall for rare, high-consequence categories Trust & safety or product policy experience at a technology platform 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: $245,000 — $285,000 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: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Channel Partner Manager for Korea, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Korean market. You will work at the intersection of cutting-edge technology and Korea's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies. As a Channel Partner Manager, you will focus on growing the partner Anthropic reseller and services business in Korea and achieving quarterly revenue and partner attach targets through new customers and upsells. You'll be the local owner of these partner relationships in Korea. Our partners will look to you for everything that makes the channel work day to day from initial onboarding to deal registration, enablement, billing and contracting questions, escalations. Our internal teams will look to you for what is happening in the market, how partners are driving new opportunities and growth within existing customers. You'll work closely with the local sales team and the central program team, co-selling on partner-sourced and partner-influenced opportunities and managing direct versus partner conflict as deals arise. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. Much of the process for running the channel in Korea doesn't exist yet, and building it will be a large part of the job in the first year. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth. This is an early role in a new market for a program we expect to grow well beyond its first two countries. The habits you establish with our first partners in Korea will shape how the program works everywhere else. Key responsibilities Own the day-to-day relationships with Anthropic's strategic resellers and system integrators in Korea, acting as their primary local point of contact, including billing, contracting and general queries Own deal registration and pipeline discipline with partners, making sure registrations are submitted and validated, conflicts are cleared, and named end-customer reporting is complete on every deal Forecast and report partner pipeline and performance against the quarterly revenue and partner attach targets, and own the Korea channel number with the central program team Negotiate resale agreements and commercial terms with partners alongside the central program team and Legal Co-sell with the local account team on partner-sourced and partner-influenced opportunities, and manage direct versus partner conflict as deals arise Develop and execute business plans with System Integrators and strategic resellers to drive mutual growth and revenue targets Build and maintain executive-level relationships within Korean partner organizations, navigating complex organizational structures and decision-making processes Support partner onboarding end to end, from diligence and agreement execution through readiness ahead of launch, including for partners who join the program after launch Coordinate partner certification and enablement with the central enablement lead, including Korean-language delivery and ongoing recertification Manage Anthropic's counterpart relationships with the cloud hyperscalers AWS, Google Cloud and Microsoft Azure in Korea, including the Marketplace private offer motion that reseller deals run through Work with the central program team on program governance, margin mechanics, and escalations, and build the local processes and working rhythms the channel needs where none exist yet, feeding what you learn from partners back to the program team Run regular business reviews and QBRs with each partner against the joint plan Own partner co-marketing in Korea, agreeing a joint marketing plan with each partner and Channel Marketing, funding it through MDF where it qualifies, and delivering the announcements, campaigns, webinars and events that turn the partnership into pipeline Minimum qualifications Experience managing channel or reseller partner relationships in enterprise software or cloud Experience working with large Korean systems integrators or cloud managed service providers, and an understanding of how partner-led selling works in Korean enterprise, public sector, and financial services accounts Working knowledge of channel program mechanics such as deal registration and partner tiering Full professional fluency in Korean and professional working proficiency in English, written and spoken, including the ability to deliver enablement to partners in Korean Comfort joining a new program early: hands-on, structured, and able to build process where none exists yet Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience with cloud marketplace resale, particularly AWS Marketplace private offers, or with AWS partner teams more generally Familiarity with margin and rebate mechanics in a partner program Experience bringing existing, informal partner activity into a structured program, or joining a partner program at or before launch Experience on the systems integrator or managed service provider side of a vendor relationship, as well as the vendor side Familiarity with how enterprises and public sector organizations in Korea are evaluating and adopting AI 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: Remote-Friendly (Travel Required) | 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 Data Center Operations (DCO) team ensures compute fleet availability through hardware and IT operations. At our partner-operated sites, this role manages the interface between Anthropic and the strategic site operations partner performing day-to-day data hall work. As the site lead, you own site outcomes for your assigned sites including: deployment velocity, availability, and incident response. Rather than managing operations staff directly, you provide tactical direction, set priorities, and define the standards for the vendor's on-site teams, paired with performance oversight and ongoing operational assessment to ensure all operational commitments are met. You will define the operational processes, quality gates, and governance rhythms for partner-operated sites. Expect to build the playbook as much as you run it, not just at a site level, but defining and developing program improvements fleet-wide. What you’ll own Operational outcomes. Own site availability, deployment milestones, and repair turnaround, verified with independent data rather than vendor self-reporting. Vendor direction. Set daily and weekly priorities and lead the operating cadence, including standups and business reviews. Process definition. Author and improve procedures for deployment, break-fix, change management, security, and EHS compliance. Analyze operational trends and standardize lessons across the program. Performance management. Track vendor performance against SLAs and staffing commitments, driving corrective actions when necessary. Incident response and on-call. Participate in the incident escalation on-call rotation. When designated Anthropic Incident Commander for a site-specific incident, direct vendor response, own communications, and close out post-incident actions. Internal interface. Translate engineering requirements into vendor direction and communicate site constraints and risks to leadership. Representative work Leading weekly operations reviews and scorecards with vendor site leads. Directing deployment surges to meet first-compute-online milestones. Analyzing failure patterns to identify root causes and driving fixes with owners. Creating break-fix ownership matrices and training vendor teams. Serving as Incident Commander for facility events and producing post-mortems. Establishing operational readiness for new data halls, including spares and security. Identifying process gaps and codifying improvements as program standards. You may be a good fit if you Have 8+ years of experience in data center operations (hardware, IT infrastructure, or critical facilities) as a manager, technical lead or related role, including accountability for production availability. Have managed vendors, MSPs, or contract workforces to measurable outcomes: SOWs, SLAs, operational reviews, and corrective action. Carry hands-on technical depth in server, network, and rack-level infrastructure, enough to independently verify vendor claims and audit quality. Have built or substantially improved operational processes, not just run them. Have served in an incident command or lead-responder role and communicate clearly under ambiguity. Can support non-standard hours, including an on-call rotation and availability during deployment surges and maintenance windows. Bachelor's degree in relevant domain or equivalent practical experience. Strong candidates may also have Experience with third-party colocation providers or partner-operated sites, delivering IT operations outcomes inside a facility someone else runs. Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. Experience with GPU/accelerator or high-density liquid-cooled infrastructure. Familiarity with multi-vendor sites where facilities and IT operations are performed by different partners. Experience leading projects from initiation to completion across teams you didn't own. Background in incident management frameworks, contract/SLA design, or EHS programs. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 The Detection & Response (D&R) team plays a critical role in protecting our systems, users, and data from security threats. We’re looking for an experienced Technical Program Manager to own and evolve incident management within D&R. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents. You’ll be the driving force behind maturing and scaling our incident response lifecycle—from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You won’t just manage incidents—you’ll make sure we get meaningfully better after each one. Responsibilities Own the end-to-end D&R incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking. Serve as incident commander for security incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders. Establish and run incident commander rotations within D&R, ensuring clear ownership and effective coordination during incidents of varying severity. Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams—ensuring follow-through on both tactical fixes and strategic improvements. Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable. Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms. Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization. Develop and maintain D&R incident response documentation, playbooks, runbooks, and training materials; keep them current as the threat landscape and our systems evolve. Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for security events. Define, develop, and track incident management KPIs and report regularly to D&R and Security leadership. Support broad cross-functional training and initiatives to uplevel security awareness across the company (e.g. Tabletop exercises, training, talks). You may be a good fit if you: Have 7+ years of experience in technical program management, incident management, or security operations, with significant time spent in a detection & response or security incident response context. Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment. Have a demonstrated track record of turning incident data into organizational improvements—not just writing post-mortems, but driving the cross-functional work to implement systemic fixes. Are comfortable participating in on-call responsibilities and leading incident response during high-severity security events, including off-hours. Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist. Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop. Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization. Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations. Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership. Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information. 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: $290,000 — $365,000 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.