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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 Copywriter, Developer at Anthropic, you will shape how our brand speaks to developers, an audience that is notoriously allergic to being marketed to and quick to spot anything that doesn't ring true. Developers who stay sharp, curious, and direct AI tools with their own judgment are the ones who will thrive, and your job is to help that idea land authentically rather than arrive as a slogan. You'll co-create a voice that developers recognize as empathetic, direct, and genuinely useful, and you'll bring that voice to every place our brand meets a developer. In this role, you'll own the brand-led developer writing that sits between Dev Rel's technical content and pure marketing: launch narratives, campaign work, social, paid, event materials, and developer work that shows up in enterprise contexts. You'll partner closely with Dev Rel as an embedded extension of their team, co-own the developer voice and tone guide with Comms, work with Claude Code and developer marketing leadership on strategic initiatives, and sit within a developer creative pod alongside a brand designer and program manager, with our Head of Copy and Content as your craft lead. Responsibilities Own the developer-facing expression of brand campaigns, starting with Keep Thinking, translating brand-level ideas into writing that works across launches, social, and paid Build the developer voice and tone guide in partnership with Comms and Dev Rel, then turn it into the templates and examples the creative team uses for developer work Own the brand-led developer assets that sit between technical content and marketing, from event and campaign materials to developer writing in enterprise contexts Partner daily with Dev Rel as an embedded extension of their team, complementing the technical content they own rather than duplicating it Develop launch narratives and short-form copy that adapt expert, technical material into sharp, accurate writing developers trust Lead copy for the developer creative pod, working side by side with brand design and program management to ship integrated work Partner with Claude Code leadership and developer marketing leadership on strategic initiatives that shape how we show up for developers Present work and a clear rationale for voice and craft decisions to stakeholders across Brand, Dev Rel, Comms, and marketing Manage feedback from technical reviewers and Comms so that what ships is both accurate and within what we can say externally Track how developer-facing work lands and use what you learn to sharpen the voice, the templates, and the work itself You may be a good fit if you Have 8+ years experience writing for developers or technical audiences, and a portfolio that shows both technical and brand work Have shipped work that developers actually shared, whether in-house at a developer tools or infrastructure company or at an agency serving those clients Have a strong, specific point of view on how brands should talk to developers, and can articulate it with examples Can read a changelog or a docs page and explain why a developer would or wouldn't trust it Are skilled at adapting expert material into sharp short-form copy and launch narratives without losing accuracy Work fluidly across the full range from technical content to pure brand writing Already use Claude or other AI models in your own writing practice and can talk concretely about how Enjoy embedding with technical teams and treating engineers and Dev Rel as creative partners, not just reviewers Are comfortable co-owning standards with other teams and knowing where your lane ends and theirs begins Are excited about Anthropic's mission to develop AI that is safe and beneficial Strong candidates may also have Experience working directly alongside a Dev Rel or engineering team rather than through a brief Built or contributed to a voice and tone guide, style system, or writing templates that other people successfully used Written for developer launches at a fast-moving product company, where accuracy and speed both mattered Familiarity with the AI developer ecosystem, including coding tools, APIs, and how developers evaluate them Experience writing developer-credible work that also performs in enterprise or executive contexts A personal writing practice, newsletter, or public work that demonstrates voice and judgment Worked within brand campaign systems and translated them for a skeptical or specialized audience The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 — $255,000 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 The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring an IT Operations Engineer to develop our global asset management and hardware lifecycle program across our offices in San Francisco, New York, Seattle, London, Dublin and Sydney. You will bring program expertise to how we track hardware as inventory through its whole life: procurement and receiving, the inventory of record, assignment, refresh, collection and recovery, e-waste and secure disposal, and reseller relationships, iterating and scaling practices as we mature. The same person runs day-to-day operations for our corporate mobile program in addition to expertise in management of laptop and workstation lifecycle operations. You'll partner with several teams within the IT, Security and business operations organizations: IT Hardware Ops runs procurement, fleet logistics, onboarding and offboarding, the storage room, and physical intake. The Endpoint pod owns MDM, device policy and enrollment. Finance owns the budget and vendor contracts. Hardware requests that come through the IT Support queue land with the IT Support team, and you'll help define how they are handled. Responsibilities Strategy and Tooling Develop the global asset management strategy: the lifecycle model, the data we keep on every device, and how each office executes against it Select, implement and administer the asset management tool, define its data model and integrations, and partner with IT Engineering where the work needs platform-level access Contribute to and develop the processes on-site engineers in each office execute against, including the storage room process Support the evaluation and onboarding of a hardware lifecycle services vendor and, once in place, run the day-to-day relationship Inventory and Assignment Establish the inventory of record across systems and keep it accurate, from receiving through disposal: every device, its state, its location, and who has it Run audits of who-has-what and reconcile physical counts against the system of record Manage demo, loaner, and travel device inventories, ensuring devices are accurately tracked through complex logistical deployments Maintain up-to-date inventory counts and make strategic purchasing decisions in support new hire onboarding and peripherals stock levels Procurement and Refresh Support hardware purchasing through our reseller and vendor relationships, working from the refresh calendar Build out the refresh calendar and advance it across offices Reconcile purchase orders, deliveries and invoices with Accounting and vendors so that what was ordered, received, and billed line up Collection, E-waste and Disposal Develop device collection and recovery workflows: offboarding returns, refresh swaps, remote-employee returns and the BPO fleet, including the shipping and tracking that goes with them Build the e-waste program: certified recycling and secure disposal partners in each region, data destruction records, and the chain of custody from collection to certificate Handle equipment under legal hold or other chain-of-custody requirements BPO and Contingent Fleet Provision, track and recover the device fleet for our BPO partners, and be the day-to-day hardware contact for those vendors Corporate Mobile Run day-to-day operations for the corporate mobile program and write its runbook Manage deployment, break-fix, and carrier relationships associated with a mobile device fleet Automation Identify repetitive work throughout the operation and automate it with the tools at hand (scripts, systems integrations / connectors, AI tools) You may be a good fit if you Have implemented an asset management and lifecycle program for a multi-office fleet, not only run one: taken it from spreadsheets or nothing to a system of record and defined the processes around it (procurement, inventory, assignment, refresh, collection and disposal), ideally in a fast-paced or high-growth environment Have selected or implemented an asset management platform such as Jira Assets, Snipe-IT or similar, and developed the data model Have run an e-waste or secure disposal program with certified partners and chain-of-custody records Have managed reseller or vendor relationships for hardware purchasing and asset disposal Write things down: runbooks, how-to guides and knowledge base articles Recognize when a request reaches past this role and route platform work to IT Engineering, policy to the Endpoint pod, and budget to Finance Strong candidates may also Have supported a corporate mobile program or carrier account Have basic scripting experience (Bash or Python) for inventory or reporting automation Have experience using AI tools to improve personal or team productivity Have been the hands-on asset contact for an ISO 27001 or SOC 2 audit: pulled extracts from the register, produced disposal certificates and evidence of returned assets 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: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA; San Francisco, CA | New York City, NY; Seattle, WA; 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 Manager, Customer Success – Cyber, you'll lead the Customer Success Managers who cover our cybersecurity accounts: the security, identity, cloud, data protection and observability vendors building on Claude across API, Claude Code, Cowork and other surfaces, both inside their own engineering and security organizations and embedded in the products they sell to their customers. You'll directly coach and develop a team of Customer Success Managers while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge, cybersecurity domain expertise and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization. Responsibilities: Directly manage and develop a team Customer Success Managers supporting strategic cybersecurity accounts across all Anthropic products (API, Claude.ai , Claude Code) Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite Provide cybersecurity subject matter expertise to cyber customers and the CSMs supporting them: bring domain knowledge of security operations, detection and response, identity, cloud and data protection to customer engagements, and coach the team on how cyber vendors build, buy and embed AI so they can engage credibly with CISOs, CTOs and principal engineers Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT) Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at leading cybersecurity companies Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise Conduct regular 1:1s, performance reviews, and career development planning for direct reports Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio Develop customer advocacy programs including case studies, testimonials, and reference architecture development Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions You may be a good fit if you have: 7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies Cybersecurity experience: time spent working with or inside cybersecurity companies, or in a security-adjacent domain (security operations, detection and response, identity, cloud or data security), with the fluency to act as a credible subject matter expert for cyber customers and your team Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings Strong executive presence and ability to represent Anthropic with customer technical and business leaders Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs Track record of achieving team targets for expansion, retention and customer satisfaction Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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: The Encodings Infra team maintains the libraries that engineers and researchers across Anthropic use to encode text and multimodal data into a form that Claude can consume. It also determines Claude’s prompt shape: how a user’s turn is represented to the model, how Claude calls tools and receives tool results, and so on. As a Software Engineer on this team, you'll own the design and maintenance of these libraries—keeping their APIs intuitive, their performance sharp, and their abstractions solid enough that most of the org never has to think about encodings or prompt structures at all. You’ll have the satisfaction of knowing that your work enabled Claude to learn new ways of understanding the world. This role is unusually broad: your work will touch systems across the codebase, from pretraining to finetuning to the API, and you'll collaborate closely with both researchers and engineers to make sure new encoding ideas can move quickly from experiment to production. Responsibilities: Maintain and improve the encoding libraries used by engineers and researchers across Anthropic Run experiments to determine the optimal way to feed structured data into Claude without confusing it Design data structures and abstractions that shield most of the organization from the details of how encoded data works while enabling “power users” Adapt the encoding libraries to support new research directions as they emerge, and make sure that we can ship these research ideas to production Optimize encoding performance across the systems that depend on these libraries You may be a good fit if you: Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs Have familiarity with ML terminology and LLM architecture — you don't need to be an ML expert, but enough understanding to work effectively alongside researchers and understand the results of experiments Have experience carrying out complex refactors in large codebases Have strong communication skills and enjoy working closely with researchers and engineers to understand what they need Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Care about the societal impacts of your work Strong candidates may also have experience with: Tokenizers or other text/data encoding systems Maintaining a widely-used library over a long period of time Performance optimization Python and/or Rust Reinforcement learning or model training infrastructure Representative projects: Working with a research team to ship a new multimodal data type (audio, video, etc) to production Redesigning a core abstraction so that we can change how data is encoded into Claude without breaking downstream teams 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: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, Distributed Systems, and Infrastructure as Code Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have experience running LLM-based agents in production Have experience with integrity, spam, fraud, or abuse detection and mitigation Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sydney, Australia 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 Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic. This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce. Key responsibilities Data Infrastructure & Modeling Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems Ensure appropriate data access controls including row and column-level security for sensitive candidate data Pipeline Development & Integration Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools Create reliable data flows that handle both real-time needs and batch processing requirements Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness Automate data quality checks and validation across all pipelines Analytics Engineering & Modeling Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company Minimum qualifications Are an expert in BigQuery including optimization and partitioning Have built dimensional models and understand slowly changing dimensions Are proficient in SQL, Python, and modern tools like dbt and Fivetran Have implemented data security and privacy controls in cloud warehouses Can translate HR concepts into scalable data models Communicate effectively with both technical and business stakeholders Preferred qualifications Have 5+ years in data engineering Familiarity with ATS platforms (Greenhouse, Lever) and their data structures Experience with building semantic layers for data agents Experience building data pipelines for survey data and text analytics Knowledge of graph databases or network analysis libraries Background in privacy-enhancing technologies or sensitive data handling Previous experience in high-growth technology companies or AI/ML organizations Familiarity with workforce planning and predictive analytics use cases 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 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Colombia; Peru; Brazil; Argentina; Mexico; Spain About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: F ull-time (Offshore - CET/BST Timezone) Engagement: Independent Contractor Job Summary This company is at the forefront of the longevity revolution, providing individuals with the most comprehensive biomarker testing available to optimize their health and lifespan. As a Senior SDR, you will be the engine of growth for a high-impact preventive health platform. You will engage with health-conscious individuals across Europe and Latin America, translating complex biological data into a compelling value proposition. This is a high-velocity, high-reward role designed for an ambitious sales professional who wants to play a pivotal role in a rapidly expanding D2C health-tech environment. Key Responsibilities Manage a high volume of inbound leads with a target response time of 5 minutes or less during business hours. Conduct 50+ personalized conversations daily via phone, email, and text to qualify prospects and drive conversions. Own the full top-of-funnel cycle, aiming to add 100 new paying members per month. Drive a target Average Order Value (AOV) of $750 through consultative selling and education. Maximize customer lifetime value by achieving a 50% upsell rate on core service offerings. Expertly navigate health-related objections and provide expert-backed guidance on the value of comprehensive biomarker testing. Collaborate with the leadership team to refine sales scripts and outreach strategies. Requirements 2+ years of experience as an SDR or in a sales-driven role within a D2C tech environment. Bilingual fluency in Spanish and English (Must-have). Proven track record of high-volume outreach and meeting/exceeding aggressive sales quotas. Exceptional organizational skills with a self-starter "go-getter" mentality. Comfortable working in CET/BST timezones with a required overlap with EST (10 AM – 2 PM). Experience in Healthcare sectors. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🤝Opportunity to work at the cutting edge of longevity and preventive health 🧠 Ongoing training, mentorship, and sales development support

Location: Colombia; Peru; Argentina; Mexico; Spain; Costa Rica About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: F ull-time (Offshore - CET/BST Timezone) Engagement: Independent Contractor Job Summary This company is at the forefront of the longevity revolution, providing individuals with the most comprehensive biomarker testing available to optimize their health and lifespan. As a Senior SDR, you will be the engine of growth for a high-impact preventive health platform. You will engage with health-conscious individuals across Europe and Latin America, translating complex biological data into a compelling value proposition. This is a high-velocity, high-reward role designed for an ambitious sales professional who wants to play a pivotal role in a rapidly expanding D2C health-tech environment. Key Responsibilities Manage a high volume of inbound leads with a target response time of 5 minutes or less during business hours. Conduct 50+ personalized conversations daily via phone, email, and text to qualify prospects and drive conversions. Own the full top-of-funnel cycle, aiming to add 100 new paying members per month. Drive a target Average Order Value (AOV) of $750 through consultative selling and education. Maximize customer lifetime value by achieving a 50% upsell rate on core service offerings. Expertly navigate health-related objections and provide expert-backed guidance on the value of comprehensive biomarker testing. Collaborate with the leadership team to refine sales scripts and outreach strategies. Requirements 2+ years of experience as an SDR or in a sales-driven role within a D2C tech environment. Bilingual fluency in Spanish and English (Must-have). Proven track record of high-volume outreach and meeting/exceeding aggressive sales quotas. Exceptional organizational skills with a self-starter "go-getter" mentality. Comfortable working in CET/BST timezones with a required overlap with EST (10 AM – 2 PM). Experience in Healthcare sectors. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🤝Opportunity to work at the cutting edge of longevity and preventive health 🧠 Ongoing training, mentorship, and sales development support

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 We're looking for a product marketer to join the Claude Platform Product Marketing team. You'll drive go-to-market for launches across the platform, from new API features and developer tools to the capabilities that ship with new models. In this role, you'll partner with Product to bring new capabilities to market, write the positioning and messaging that explain what each one does and who it's for, and give Sales the narratives and materials they need to win technical deals. If you've run launches for developer platforms, API products, or technical infrastructure and want to launch new capabilities every week, this role is for you. Responsibilities Lead end-to-end go-to-market planning and execution for new platform products, features, and capabilities Develop compelling product messaging, positioning, and value propositions aligned with technical audience needs Drive product launches that generate market momentum, from flagship releases to incremental feature updates Design and implement developer marketing campaigns to drive API adoption and platform usage Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market Minimum requirements Have a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches Have a strong technical background with the ability to understand and communicate complex AI features to both technical and non-technical audiences Excel at cross-functional collaboration, particularly in aligning Product, Sales, and Marketing strategies Possess strong storytelling skills with a demonstrated ability to create diverse marketing content, including blogs, presentations, sales collateral, website copy, and customer case studies Have exceptional writing skills with a demonstrated ability to adapt tone, style, and complexity for diverse audiences (executives, technical users, end customers) and formats (long-form content, product briefs, email campaigns, social media) Preferred requirements Have 10+ years of product marketing experience and at least 5 years focused on developer platforms, APIs, or technical products Experience in highly competitive markets requiring sharp differentiation A background in marketing AI/ML products or developer tools to enterprise buyers Experience working closely with Sales teams on strategic, technical deals Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. Provide white glove deployment support for Anthropic products in enterprise environments. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25-50%) to customer sites to build in person with customers. Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting or product experience. Former technical founders are also encouraged to apply. Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications High agency with an ability to navigate ambiguity present in complex organizations. High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. Experience with enterprise IT systems and/or AI deployment patterns is a plus. 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: £225,000 — £255,000 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: Amsterdam, Netherlands; Scherpenheuvel, Belgium About Allucent™ At Allucent™, our mission is to shine a light on new therapies that improve lives. When you join our team, you’ll use your unique skills, expertise, and knowledge to forge meaningful partnerships with clients while helping them turn groundbreaking ideas into life-changing treatments. If you’re passionate about advancing pharmaceuticals and biologics, fueled by an entrepreneurial spirit, and eager to collaborate with top minds across science, business, and operations, we’d love to connect. Together we can accelerate innovation and grow side by side, making a last impact on patients worldwide. Together we SHINE . Find more information about our values. The role Bring your monitoring expertise to the forefront of innovation. We are looking for a Clinical Research Associate (CRA) to join our A-team. As a CRA at Allucent™, you will independently control and monitor investigational sites, pro-actively detect issues, provide solutions to ensure clinical studies are performed according to the trial protocol and in compliance with SOPs, applicable regulations, and the principles of Good Clinical Practice. As a CRA , you will take the lead on monitoring activities, owning your sites and relationships with investigators. You’ll be the bridge between sponsor and site, ensuring trial integrity while being supported by a collaborative, experienced team. This includes work related to regulatory affairs, site activation processes—including contracting and start-up activities—to ensure smooth and compliant study execution. You will travel throughout Netherlands and/or Belgium. Main responsibilities: Independently manage all aspects of monitoring for assigned clinical trials across study phases, including site initiation, routine monitoring, and close-out visits. Ensure compliance with protocols, GCP, ICH, SOPs, and applicable regulatory requirements. Build strong site relationships , acting as a primary point of contact and ensuring high-quality data collection. Identify and resolve site issues , escalating as needed to maintain trial integrity and patient safety. Activities around regulatory affairs, site activation and study-startup. Requirements To be successful you will possess: You’re an experienced CRA ready to take the next step with a company that truly values your expertise and independence. You thrive in an agile, collaborative environment and want to be part of a team making a real impact. Experience in leading monitoring activities in complex trials with a minimum of 2 years’ experience. Strong understanding of ICH-GCP and regulatory guidelines . Clear and confident communicator in English and Dutch. Comfortable working independently and managing priorities. Willingness to travel, as required (8 DOS per month). Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our in-office work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-BL1

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 team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. A large and growing share of Claude usage reaches customers through our cloud partners: Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. As the Enforcement Operations Lead for Multi-Cloud, you'll own how Anthropic detects, reviews, and acts on misuse across those surfaces, where the partner owns the customer relationship and often the data path. You'll build the operating model, partner agreements, and documentation that make enforcement on every cloud consistent, auditable, and fast. This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams and companies to break new ground and drive work to completion. This work is deeply cross-functional. You'll partner closely with our product managers, policy experts, Safeguards engineering, Legal, and the trust & safety and operations teams across our Cloud partners to maintain a consistent and safe enforcement ecosystem. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. Key responsibilities Own the end to end enforcement lifecycle on partner surfaces, from detection and review through action, customer communication, and appeal Define enforcement paths for each partner's operating model, including how actions are requested, executed, and confirmed when the partner controls the account Manage SLAs for review, escalation, and action, and evaluate performance against them on an ongoing basis Develop and maintain SOPs and escalation guides for all enforcement workflows, ensuring consistency across clouds Establish red-teaming, Quality processes, and operationalize shared metrics Stand up paired investigations with partner threat intelligence teams, including case referrals, indicator sharing, and paging for high severity incidents Own enforcement metrics across partner surfaces and report them to Safeguards leadership, partners, and regulators Minimum qualifications Extensive experience in trust and safety operations, enforcement, threat intelligence, or a related field Have managed external partner or vendor relationships where you did not control the other side's systems or priorities Comfortable working across policy, legal, engineering, and operations teams to translate requirements into practical workflows Experience building enforcement programs from the ground up, including SLAs, escalation paths, and quality measurement Highly organized, with a track record of maintaining rigorous documentation and SOPs in fast-moving environments Clear and precise communication, both in writing and verbally, across technical and non-technical audiences, including partner executives Energized by the challenge of building scalable systems in an environment where not everything is already figured out Care deeply about the responsible deployment of AI and the role enforcement operations plays in that mission Preferred qualifications Direct trust & safety, abuse, or security operations experience at AWS, GCP, or Azure, or at a company that ships through their marketplaces Experience designing incident response or escalation processes that span more than one company Familiarity with data access controls, audit requirements, or privacy constrained review environments Experience with law enforcement referrals, regulatory reporting, or compliance programs Background in AI safety, content moderation, fraud, or abuse detection systems Comfort working with data and metrics to inform operational decisions and surface trends to leadership 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 — $330,000 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 (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Claude Code is changing how engineering organizations build software, and most of them need someone to show them how. That's you. Technical Architects help customers get real work done with Claude Code, Claude Tag (Claude Code as an agent in Slack), and the enterprise admin controls that decide whether a rollout succeeds. You'll teach customers, partners and Anthropic's own field teams. Just as important, you'll train the trainers who carry that knowledge to everyone else. We're hands-on AI engineers who would rather teach than sell. You'll work alongside customer engineering organizations, teaching them about Claude Code and shepherding rollouts with advanced admin knowledge. Most weeks you're in front of an audience with Claude Desktop or a terminal open: thousands of engineers on a public webinar one day, a customer's platform team in their own conference room the next week, office hours in between. The prep material often reaches you the day before. The team is growing quickly this year, scope will grow as new products ship, and the people who join now will shape how it works. Responsibilities Teach in every format. Take a standing rotation on Anthropic's public webinars in front of thousands of engineers at a time. Lead workshops and multi-day onsites, in person and virtual, built around a customer's own codebase and questions. Host office hours and multi-week cohorts where engineers, partners, and account teams bring live problems. Teach the teachers. Run train-the-trainer programs for customer technologists and champions, and certify them to deliver Anthropic's material. Empower admins. Educate enterprise admins on the technical requirements for a strong rollout by guiding them through single sign-on, permissions, connectors, spend controls, data-handling policy, and other advanced topics. Build fast with Claude. Turn a request into a polished deck, demo repository or plugin within a day, using the tools you teach. Explore new features the day they ship. Pick up a teammate's material and deliver it as if you wrote it. Bring field signal back to product. Tell the Claude Code, Claude Tag and Cowork teams what customers run into, specifically enough that they can fix it. Be the technical voice in the room. Partner with account executives, customer success managers, Applied AI Architects, support engineers and partner leads. Travel. Expect 30 to 50%, in bursts around onsites, workshops and events. You may be a good fit if you have 5+ years as a software engineer, solutions architect, developer advocate or similar. You still ship code and regularly teach engineering audiences. Current engineering range. You've shipped code other people depend on. You can go deep with a senior engineer anywhere in the stack. You use Claude Code or a similar agentic tool every day and have opinions about it. Big-stage presence. You've held large live audiences. You sound practiced with material you got that morning, and a broken demo doesn’t faze you. Range in one conversation. You can go from banter to a rigorous design discussion, and both feel natural. Care for people. You do right by a struggling customer, and you won't leave a confused room behind. Initiative. You build things without waiting for permission, and you say when an idea is half-formed, including your manager's. Steadiness when priorities shift, timelines are short and colleagues are under pressure. Comfort with ambiguity in a fast-moving industry and product suite. A stake in safe AI. You care that large organizations deploy AI responsibly, and you want to help them do it. You love being on the frontier. You want to work at the edge of what’s possible and help define what comes next. Strong candidates may also have Depth in enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA). Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI. Time with regulated industries or with systems-integrator partners. A public record of technical teaching: talks, courses, videos or writing. An interest outside technology you can talk about with the same energy. 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: $250,000 — $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.

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 We're building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up. Responsibilities: Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch Establish metrics and tooling to measure and improve search quality Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency You may be a good fit if you: 5+ years building complex distributed systems in production Solid grasp of search fundamentals: indexing, retrieval, ranking Strong coding skills in Python, Go, Java, or similar languages Hands-on experience with high-volume data processing architectures 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 | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Strategic Projects Lead to take on recruiting's most complex, cross-cutting work: the high-stakes decisions and initiatives that span many teams and don't fit neatly into any one group's remit. You'll bring the structure, coordination, and follow-through that help these get made well, and see them through as the company scales. You'll work across every team that touches hiring, and you'll move work forward through partnership, not ownership. The job is influence: bring the right people together, make sure decisions are principled and well-documented, and keep recruiting's approach coherent over time. You'll be the most senior individual contributor for how recruiting operates, and success depends as much as on building trust across senior stakeholders with different priorities as it does on building good systems. This is a high-autonomy role for someone who thrives in complexity and ambiguity. You know recruiting well enough to feel where it breaks, and you're energized by holding several very different problems at once and driving each to a clear resolution. Key responsibilities Take on recruiting's biggest ambiguous bets: define the problem, ship the smallest testable version, and hand each one off as a repeatable program before moving to the next Own the operating rhythm across the teams that support recruiting, so we plan, review, and decide as one function Spot recurring friction and fix the system behind it, not just the case in front of you Own process design when company-wide changes run through recruiting, and drive them to real adoption with the partners who own the build and the comms Be recruiting's DRI for headcount and workforce planning, including hiring pace and readiness for new regions Own the operating standard for interviewing, like scheduling lead time and interviewer load, and lead the cross-team diagnosis when it slips Turn analytics into standards and simple SOPs, and build documentation a new leader could pick up without you in the room Keep the right people informed at the right time without becoming a bottleneck, and stay fluent in our recruiting systems and data so you can call the downstream impact of any decision You'll partner directly with the leads for Recruiting Systems, Analytics, Interview Programs, and other teams. You won't run their teams or build their systems, but you'll know each well enough to make calls that hold up across all of them. Minimum qualifications Have 8-10+ years in program management, business operations, chief of staff, or people/talent roles at a fast-growing company, with increasing scope over time Have been part of a talent team or partnered closely with one, and understand how recruiting operates day to day Think in systems: you see how the pieces connect, anticipate downstream effects, and design fixes that work across team boundaries Have owned several complex workstreams at once and made hard prioritization calls without much guidance Set the strategy and vision for your area rather than executing someone else's plan Create structure and clarity in genuinely ambiguous environments Have put AI to work in real workflows: redesigning process, automating the repetitive layer, and shipping faster Test the smallest version of an idea in the real world before building the big one, and say clearly what you're not doing and why Can lose a decision cleanly: disagree, commit, and execute with full credibility, knowing which calls are reversible and which aren't Have taken a big process or policy change through an organization end to end and made it stick Close the loop, hold the bar, and finish the unglamorous work Preferred qualifications Experience running recruiting or talent operations at global scale Working knowledge of recruiting compliance, like OFCCP, GDPR, and regional employment law, and how it shapes process and systems decisions Experience in deep-tech environments with technical recruiting complexity Experience operating across multiple time zones and jurisdictions 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: $235,000 — $300,000 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 As Head of Strategic Startups at Anthropic, you will own the strategy, organization, and commercial outcomes for Anthropic's relationships with the world's most important AI-native startups. This is the segment where the next generation of category-defining companies is being built on Claude, and where Anthropic's commercial, product, and partnership decisions compound fastest. You will lead a team of Account Executives who own Anthropic's most strategic AI-native accounts, and be accountable for a revenue line spanning expansion, retention, and net-new strategic wins. Beyond running the business, you will define what "strategic" means for Anthropic in the startup ecosystem: which companies we bet on, how we structure partnerships with them, how we engage investors and accelerators, and how the signal from this segment shapes our product roadmap and go-to-market model. You will be a member of the GTM leadership team and a visible voice for Anthropic in the startup and venture community, helping ensure that the companies defining the future of AI choose to build it safely, and with us. Responsibilities: Set the multi-year strategy for Anthropic's Strategic Startups business, including segmentation, coverage model, partnership structures, and investment priorities, and secure executive alignment on it Build, lead, and scale a high-performing team of Account Executives, including hiring, coaching, and developing sellers and establishing a strong operating cadence across the team Own the segment's revenue plan and P&L-level outcomes, including forecasting, capacity planning, quota design, and resource allocation, with direct accountability to GTM and company leadership Personally lead Anthropic's relationships with a portfolio of the highest-leverage AI-native startups, engaging founders, CEOs, and CTOs on multi-year commercial, technical, and partnership agreements Design and negotiate novel commercial and partnership structures (credits programs, strategic pricing, co-development, joint go-to-market) that create durable, mutually beneficial relationships with breakout companies Serve as the executive voice of the startup segment inside Anthropic, bringing structured customer and market insight to Product, Engineering, Pricing, and Finance and influencing roadmap and packaging decisions accordingly Partner with Enterprise Sales, Solutions, Partnerships, and Customer Success leadership to define handoffs, shared accounts, and escalation paths as startups scale into enterprise customers Establish the systems of record for the segment: account planning, customer health, executive business reviews, deal governance, and the metrics leadership uses to run the business Represent Anthropic externally with founders, investors, and at industry events, articulating our approach to safe, frontier AI and why it matters for companies building on it Lean in to support building Anthropic's presence across the startup ecosystem. You may be a good fit if you: Have 15+ years of experience in enterprise or technical software sales, with 7+ years leading sales teams Have been a founder or have worked previously as a Business Development leader securing large contracts. Have owned a significant revenue line with full accountability for plan, forecast, and results, and have a track record of consistently outperforming it Have built or materially scaled a sales or account management organization, including designing coverage models, compensation plans, and operating rhythms Bring deep, first-hand familiarity with the startup ecosystem, including relationships with founders, venture investors, and accelerators, and an instinct for identifying which early-stage companies will become the ones that matter Have sold or led sales of technical, consumption-based, or platform products (APIs, infrastructure, developer tools, ML/AI), and are credible in conversations with technical founders and CTOs Have structured and closed complex, non-standard commercial and partnership agreements at the executive level Are a strong cross-functional leader who has influenced product, pricing, and go-to-market decisions well beyond your own organization Are analytically rigorous and comfortable making decisions with imperfect data in a rapidly evolving market Are motivated by Anthropic's mission and care about how frontier AI is deployed, not just how fast it grows Strong candidates may also: Have led a startups or emerging-companies segment at a cloud, infrastructure, or AI platform company through a period of hypergrowth Have founder, operator, or venture experience, and understand the pressures and decision-making of a high-growth startup from the inside Have built ecosystem programs (startup credits, accelerator partnerships, investor programs) that meaningfully drove adoption of a developer platform Have hired and developed leaders who went on to run their own organizations Have experience leading through a market where the product and competitive landscape shifts quarterly 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 — $750,000 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: United States J ob Title: Director, Regulatory Affairs, Pharmaceuticals Employment Type: Permanent Location: 300 Welsh Road, Building 5, Suite 201, Horsham, PA 19044, USA A bout ClinChoice ClinChoice is a global full-service CRO dedicated to professional development and providing an excellent work-life balance, with a quality-focused, collaborative “one-team” culture. We are looking for a dynamic person to join our in-house team as a Director, Regulatory Affairs (Hybrid) on a permanent basis. DUTIES & RESPONSIBILITIES : As the Director of Regulatory Affairs for Pharmaceuticals & Biotech, you will have the opportunity to formulate and implement strategies to support multiple leading clients for various regulatory activities. The ideal candidate is a go-getter, exceptional communicator, and strategic thinker who thrives in a fast-paced environment with multiple demands and quickly becomes a trusted partner to their peers and clients alike. Key Responsibilities: ·       Provide strategic and tactical leadership of the regulatory affairs function in North America, in close collaboration with cross functional teams. ·       Lead client interactions and act as Subject Matter Expert on Regulatory projects for the biopharma clients. ·       Ensure compliance with all appropriate government regulations, industry guidelines, and best practices. ·       In collaboration with regulatory colleagues globally, devise and implement global regulatory strategy and provide leadership oversight for clients’ projects. ·       Manage, oversee and/or prepare regulatory documents and submissions in accordance with clients’ requirements. ·       Act as SME with deep knowledge of HA regulations for all aspects of biopharmaceutical regulations. ·       Collaborate with internal staff to author and compile documents for submission to regulatory agencies, including INDs, CTAs, BLAs, MAAs, and NDAs. ·       Mentor internal team across various regulatory projects. ·       Monitor Regulatory environment and communicate any changes and impact assessments to all team members. ·       Monitor regulatory landscape and communicate to senior leadership any impacts of guidelines and policies that can create business opportunities for the organization. ·       Hire, develop and mentor regulatory personnel and future regulatory staff. ·       Prepare client presentations & support department growth related activities, as needed. Experience & Qualifications : Bachelor’s degree in a scientific field. Advanced degree, such as PharmD, PhD, MS preferred. Eight or more years of experience in Regulatory Affairs for biopharmaceutical products (small & large molecule, drug-device combination, vaccines, etc.), experience with Phase 1 through Phase III products is highly desirable. Experience developing regulatory strategies for INDs, CTAs, NDAs, MAAs and/or BLAs with a track record of successful approvals. Direct experience working with the FDA and other health authorities. Experience with CBER and global biologics experience highly desired. Strong knowledge of the industry Regulatory Affairs throughout the product lifecycle, including Development, CMC, Labeling, Promotion, Commercialization, and Operations. Must be able to assimilate and interpret trends in the life sciences regulatory environment that directly affect business decisions in the industry. Initiate and support development of digital technology solution for various processes across regulatory affairs/operations. Excellent oral and written communications skills as well as the ability to build cross-functional relationships and work collaboratively with other groups. Entrepreneurial, innovative, energetic, hands-on, team oriented, and customer focused, with the ability to think strategically as well as execute project details. Must be comfortable with ambiguity in a small, fast-paced environment. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-PB1 #Hybrid