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Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Job Description About the role Join Anthropic's Customer Success team as an Munich based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across DACH helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. You'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: Build trusting, strategic relationships with key DACH customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of DACH customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as a member of CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have: 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) in region Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Fluency in German and English 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 of America Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A global technology leader specializing in search technology, digital advertising, cloud computing, and artificial intelligence. Delivering enterprise cloud infrastructure and software solutions, the organization builds scalable consumer and enterprise AI experiences. Today, the company leverages foundational AI models and advanced machine learning to power digital ecosystems for billions of global users. What You’ll Do Conduct formal, end-to-end written privacy reviews for products, features, research publications, data pipelines, and experimental prototypes Evaluate privacy risks and recommend practical safeguards aligned with internal standards and applicable global regulations Manage reviews from initial discovery and risk identification through remediation and final approval Provide strategic guidance and support the escalation of complex or high-risk privacy matters Maintain accurate, detailed, and audit-ready assessment documentation Assess the privacy implications of AI, machine learning, generative AI, and Large Language Model systems Evaluate data ingestion, prompt inputs, context windows, model outputs, training workflows, inference processes, and human-in-the-loop oversight Identify potential risks involving personal data, data leakage, memorization, secondary use, data retention, and inappropriate model outputs Recommend appropriate privacy controls for experimental and production AI systems Support the responsible development and launch of emerging AI capabilities Review technical design documents, Product Requirements Documents, Business Requirements Documents, system architecture diagrams, data-lineage documentation, and academic publications Identify privacy touchpoints, data dependencies, and potential gaps across product and data-processing lifecycles Translate privacy, legal, and compliance requirements into practical and actionable guidance for product and engineering teams Evaluate complex product scenarios in which requirements, risks, or ownership may not yet be clearly defined Partner with product managers, software engineers, data scientists, legal teams, and privacy stakeholders to incorporate privacy controls throughout the product lifecycle Evaluate controls relating to notice and consent, transparency, user choice, data portability, data minimization, access, and retention Review data-collection practices, consent flows, access controls, privacy policies, and user-facing privacy notices Help teams make informed product decisions that balance innovation, regulatory obligations, and user trust Identify gaps in existing privacy-review processes and recommend operational improvements Develop and refine privacy frameworks, standard operating procedures, guidelines, templates, and review criteria Support operational reporting and program-management activities across the privacy lifecycle Use custom tools and AI technologies to automate workflows, improve review efficiency, and optimize governance operations Help establish consistent and scalable privacy-review practices across research and innovation teams What You Bring Extensive hands-on experience conducting formal written privacy reviews, assessments, or impact analyses Product-focused privacy experience within technology, digital platforms, cloud services, AI, or similarly complex environments An active IAPP certification in at least one of the following: Artificial Intelligence Governance Professional, Certified Information Privacy Professional/United States, Certified Information Privacy Professional/Europe, Certified Information Privacy Manager Practical knowledge of AI and machine learning data-processing workflows, generative AI applications, and Large Language Models Understanding of privacy risks associated with model-training data, user inputs, inference processes, and model outputs Deep knowledge of privacy principles, including notice and consent, transparency, user choice, data portability, data minimization, and retention Knowledge of relevant privacy and AI regulatory frameworks, including GDPR, CCPA, and the EU AI Act Ability to interpret complex software-design documents, system architectures, data flows, and product requirements Experience managing multiple reviews and competing priorities under tight deadlines Strong judgment and the ability to make well-supported recommendations in ambiguous or rapidly evolving environments Exceptional written and verbal English communication skills Ability to translate legal and compliance requirements into clear, actionable technical guidance Strong stakeholder-management and influencing skills across product, engineering, legal, and governance teams Nice to have Familiarity with enterprise privacy-review, governance, and product-launch tools Experience supporting privacy governance for research, experimental products, or emerging technologies Experience working with cross-functional legal, ethics, privacy, product, and engineering governance bodies Experience automating privacy-review or governance workflows using AI or custom tooling A degree in Law, Computer Science, Data Governance, Information Security, or a related discipline Additional privacy, security, risk, or AI-governance certifications English level Advanced Work Type: Remote Location: United States Working Hours: Alignment with west coast US time zone Legal & Hiring Information Compensation Transparency: The expected compensation range for this role is $50–100/hr USD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within the United States, and business needs. Location Eligibility: This role is open to candidates residing in the United States. Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. US work experience is not required. Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process. Benefits Summary: US-based employees are eligible to participate in Exadel’s benefits programs, which may include comprehensive health, dental, and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements. Equal Employment Opportunity: Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable federal, state, and local laws. Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with the Americans with Disabilities Act (ADA) and other applicable federal, state, and local accessibility laws. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. If you require accommodation at any stage of the hiring process, please contact us. Data Privacy Notice: For applicants residing in California, please note that personal data collected during the application process is subject to the California Consumer Privacy Act (CCPA) and will be processed in accordance with our applicant privacy notice. Disclaimer: Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. The offer is not binding until a signed contract is in place. Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: London POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Incode has been named a Leader in the Gartner® Magic Quadrant™ for Identity Verification three years running. W e’re scaling fast - and EMEA is still wide open for Enterprise Account Executives who want to open new logos and build their territory from the ground up. The Impact You’ll Make As an Enterprise Account Executive at Incode, you’ll help the largest companies in the world reduce cyber fraud and enhance identity verification experiences. Be ready to open new enterprise logos and grow the accounts you land. You’re in for a lot of fun! The B2B Enterprise Account Executive requires outbound prospecting, and a track record of closing new business in the region. We're on the lookout for a team player with a deep drive to sell the products they work on and will be taking ownership of the entire sales pipeline and processes, building your own pipeline from a named-account list covering Europe. The ideal candidate will have experience working with enterprise companies but also understand the hands-on culture of a startup sales organization. Ideally, your product sales experience focuses on complex, high-end technical solutions. Experience selling biometrics or AI solutions, nurturing leads and engaging teams across departments (product, tech, business and compliance) are great to have. We are currently focused on several sales verticals such as Financial Services and Fintech, Gaming & Gambling, and Transportation & Mobility, as well as other Digitally Native Businesses; hence, special industry expertise in any of these is highly desired. You can contribute to achieve our sales KPIs with the revenue that you bring to the table and by hitting weekly activity targets, including regular face-to-face meetings with target accounts. What You’ll Own & Drive Open new enterprise logos in financial services, fintech, gaming and other digitally native businesses, and grow the accounts you land. Handle the full sales cycle from prospect to close. Forecast and build consistent pipeline through outbound (cold calling, email, LinkedIn, events and partners), working a named-account ICP list, to achieve Monthly, Quarterly and Yearly sales quotas. Hit weekly activity targets, including regular face-to-face meetings with target accounts. Qualify rigorously with MEDDPICC, including engaging the economic buyer before any proof of concept. Manage, develop, and maintain client relationships and trusted partnerships that will optimize profitability, revenue, and client satisfaction. Cultivate and grow relationships with industry leaders that will lead to sales opportunities and new business. Apply a thorough understanding of the marketplace, industry trends, competitor offerings and products to all management activities and strategic sales decisions. Lead and deliver compelling sales pitches, presentations, and product demonstrations to a broad range of audiences, from C-level executives to individual contributors. Leverage and coordinate cross-functional internal teams (Sales Development, Legal, Engineering, Finance, Marketing, Product) to efficiently navigate complex sales cycles. Travel to industry events and conferences - up to 25%. Manage Salesforce data daily with meeting notes, accurate sales funnel update, etc. Partner with Customer Success to onboard and expand the accounts you land. Stay up-to-date with your customer’s industry and business to understand the customer’s environment and challenges, both present and future, and use the information to develop opportunities and value to the customer. The Qualities That Set You Apart Security, fraud, privacy, identity, or biometric related industry experience Your Background 5+ years of outstanding results selling SaaS/AI Solutions to customers with a track record of closing new-logo deals of 100K+ in annual contract value over 6+ month, multi-stakeholder sales cycles. Former identity experience is ideal for quick ramp, but broader SaaS experience with strategic enterprise sales experience in other relevant sectors such as Security, Cyber and Fraud are a plus. A majority of your pipeline self-sourced through outbound, and experience selling directly to enterprise customers. Experience using MEDDPICC or MEDDIC in practice to qualify and forecast deals. Experience working with large customers to deliver an integrated, end-to-end approach. Prior experience in a startup technology company. Experience selling to our target sectors such as Financial Services, FinTechs, Banks, Gaming & Gambling, Transportation & Mobility or other Digitally Native Businesses such as Gig Economy, Sharing, Social Media or Digital Mobility are desired. Up-to-date on digital and enterprise technology trends and regulatory changes. Outstanding CRM software experience (eg. Salesforce). Confident and polished communicator who is able to build strong and lasting working relationships. Outstanding negotiation skills. Motivated by success and a target-driven sales environment, managing your own accounts. Proven success navigating large organizations and the ability to quickly identify the decision-makers and the decision-making process with proven experience reducing decision time. Having a technical background and analytical mindset a huge plus. Strong sales track record and progressive attainment of goals and quotas. Based in London, with the right to work in the UK, and in our Shoreditch office every Wednesday and Thursday. Why Incode? Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically. Rocket-Ship Growth - Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing - Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy - Operate like a founder with the resources of a unicorn. Global Impact - Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Niger Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. LEAP Program Description Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries. The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country. About the Position The National Malaria Control Program (NMCP) is responsible for the national coordination of malaria prevention, case management, and malaria supply chain activities in Niger. In recent years, the national supply chain management system has undergone significant evolution, characterized by: The progressive strengthening of quantification and supply planning mechanisms; The increasing use of logistics data from DHIS2; The progressive strengthening of the Quantification Analytics Tool (QAT) as the national reference tool for supply forecasting and planning; The gradual transition to a national electronic Logistics Management Information System (eLMIS) based on Open mSupply; The progressive development of a district-led last-mile distribution model; The growing need for advanced analysis of logistics data to improve the continuous availability of commodities. In this context, the NMCP seeks to sustainably strengthen its institutional capacities in the areas of: Logistics data analysis; Data validation and triangulation; Supply forecasting and planning; Supply chain performance management; Stockout risk anticipation; Use of digital logistics management tools; Monitoring of warehousing and distribution performance; Pharmaceutical waste management. To support this transition, the NMCP wishes to benefit from technical support through the recruitment of a Technical Expert in Logistics Intelligence, forecasting, and Supply Chain Performance. The goal is to sustainably strengthen national capacities, not to create functional dependency on external expertise. The Advisor will support the NMCP in carrying out life-saving humanitarian assistance (LHA) service delivery in full alignment with the new Presidential Executive Order (EO) directives. Responsibilities General Objective Support the NMCP in strengthening its institutional capacities in logistics intelligence, quantification, data analysis, and supply chain performance management to sustainably improve the availability of malaria commodities. Specific Objectives: The Advisor  shall contribute to: Strengthening the strategic use of logistics data for decision-making. Supporting the institutionalization of QAT as the national reference tool for supply forecasting and planning. Developing mechanisms for validation, triangulation, and quality control of logistics data. Strengthening the NMCP's capacity to develop early warning systems and stockout anticipation mechanisms. Supporting the monitoring of warehousing and distribution performance carried out by National Office of Pharmaceutical Products and Chemicals (ONPPC). Developing supply chain performance dashboards and indicators. Supporting the NMCP in monitoring pharmaceutical waste management. Sustainably strengthening the technical capacities of national teams through skills transfer and process formalization. Nature and Principles of Position The position is structured around: Strengthening institutional capacities; Transferring skills; Developing sustainable tools and mechanisms; Providing analytical and strategic support. The position does not constitute a permanent organic function within the NMCP and is not intended to replace the statutory or hierarchical responsibilities of national staff. The Advisor shall: Not hold any hierarchical authority over NMCP staff; Not replace NMCP human resources; Not exercise the program's sovereign (regalian) functions; Act within a framework of technical support, accompaniment, systems structuring, and skills transfer. The Advisor will work closely with: The NMCP's Supply and Stock Management (GAS) team; The NMCP pharmacist; The NMCP monitoring and evaluation teams; The Directorate of Pharmacy, Medicine, and Traditional Medicine (DPH/MT); ONPPC; Technical and financial partners. Main Responsibilities: Logistics Data Governance and Analytical Intelligence Support the NMCP in analyzing and leveraging logistics data from DHIS2 and eLMIS/Open mSupply as it is progressively deployed, as well as planning tools; Develop cross-validation mechanisms for logistics data; Support the identification and correction of data inconsistencies; Develop Analytical Dashboards and Visualization Tools Strengthen the NMCP's capacity to analyze consumption trends and stockout risks; Develop early warning mechanisms; Support the analysis of district emergency orders; Develop logistics performance indicators. The Advisor shall build on work already carried out regarding: DHIS2 data completeness (and eLMIS data as it is progressively deployed); The identification and correction of inconsistencies; Monthly stockout monitoring; Analysis of district performance in their capacity for regular monthly resupply of health facilities. Quantification and Institutionalization of QAT Support the NMCP in the advanced use of QAT (particularly as new features are rolled out); Contribute to establishing QAT as the national reference tool for supply forecasts and plans; Progressively reduce reliance on parallel Excel files; Develop and formalize Standard Operating Procedures (SOPs) related to QAT use; Support quantification exercises; Strengthen the integration of logistics data into forecasting exercises; Contribute to harmonizing tools used by partners. Contribute to aligning the NMCP with the national vision of an integrated supply forecasting and planning system. Warehousing and Distribution Performance In collaboration with ONPPC and relevant structures, the Advisor shall: Develop performance indicators for the warehousing and distribution of malaria control commodities to ensure their continued compliance; Support the development of dashboards to monitor these performance indicators; Analyze distribution timelines and service levels; Monitor availability and logistics quality indicators; Identify operational bottlenecks; Propose corrective measures; Support the monitoring of good inventory management and storage practices. Logistics Risk Management Develop a supply chain risk register; Identify critical supply-related risks; Support the development of mitigation plans; Develop alert thresholds and escalation mechanisms; Strengthen the NMCP's capacity to anticipate stockouts; Contribute to the development of forward-looking analyses and contingency scenarios. Pharmaceutical Waste Management Support the NMCP in monitoring pharmaceutical waste management; Develop tools for tracking expired or damaged products; Contribute to monitoring activities related to incinerators funded by the Global Fund; Support the documentation and traceability of product destruction activities Develop SOPs and tracking tools related to Unusable Pharmaceutical Products (PPI). Capacity Building and Skills Transfer Provide technical coaching to NMCP teams (GAS and M&E for logistics data); Develop SOPs, guides, and standardized tools; Support the formalization of processes; Organize skills transfer sessions; Contribute to the progressive empowerment of national teams; Document achievements and institutionalized mechanisms. Expected Deliverables Logistics data governance SOPs; QAT usage SOPs; A RACI matrix for the malaria control commodity supply chain; Supply chain performance dashboards; Early warning mechanisms; Data validation and triangulation tools; A supply chain risk register; Pharmaceutical waste management monitoring tools; Plans for evaluating and strengthening GAS competencies within the NMCP; Monthly (bullet) and quarterly (narrative) activity reports. Expected Results Through this support, the NMCP aims to achieve: A sustainable improvement in the quality of logistics data; Improved capacity to anticipate stockouts; The institutionalization of QAT as the sole source for logistics data management; The development of a data-driven management culture; Strengthened monitoring of supply chain performance; Improved visibility of logistics risks; The progressive strengthening of national technical autonomy; A successful transition to a national eLMIS system based on Open mSupply. Supervisory Arrangements The Advisor shall be: Administratively recruited and evaluated by the implementing partner; Technically supervised by the NMCP Coordinator; Functionally integrated into the Supply and Stock Management (GAS) team. Technical priorities and work plans will be jointly validated by the NMCP and the implementing partner. REPORTING : The Advisor will provide a detailed monthly report to the U.S. Department of State submitted by the 5th day of the following month. Additionally, the Advisor will submit a weekly progress report to U.S. Embassy/Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week. Qualifications Advanced university degree in pharmacy, with experience in public health, supply chain management, health logistics, or a related field; A complementary Master's-level degree in supply chain management, health logistics, public health, health systems, or a related field is strongly desired; Specialized training in public health Supply Chain Management is a significant asset; Minimum of 10 years of experience in public health supply chain management; Proven experience in supply quantification and planning; Demonstrated experience using QAT or similar forecasting and supply planning tools; Experience in analyzing and leveraging logistics data; Experience using DHIS2, eLMIS, or other logistics information systems; Proven experience developing analytical tools, dashboards, and performance monitoring mechanisms; Experience collaborating with U.S. Government–funded partners and projects strongly desired; Experience on U.S. Government–funded projects is a major asset; Experience in pharmaceutical waste management desired. Excellent command of logistics management systems; Strong analytical capacity; Good command of data analysis and visualization tools; Excellent understanding of quantification mechanisms; Good understanding of early warning systems; Ability to develop SOPs, standardized tools, and institutional mechanisms; Ability to work within a matrix reporting environment; Strong capacity for institutional collaboration; High sense of ethics and confidentiality; Ability to work in a support role rather than a substitutive one; Ability to transfer skills and support national teams. Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

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 Anthropic is seeking a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems Design and run detective controls that catch billing errors before they reach the accounting books Partner with billing engineering teams to turn repeat checks into automated verifiers Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch Experience running these systems under public company reporting requirements, and scaling them as the company grew Experience with usage-based or consumption billing Experience with multi-party billing, such as marketplaces, or app stores Experience turning manual checks into automated verifiers with engineering teams Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials Python for data analysis or automation 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: $345,000 — $425,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities Build, lead, and scale a team of BDRs focused on the Enterprise segment Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization A track record of building teams that prospect successfully into complex enterprise organizations Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals Clear written and verbal communication, including the ability to engage executive-level stakeholders An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Personal closing experience as an Account Executive, Account Manager, ideally in a management role Experience managing teams that prospect into Fortune 500 or Global 2000 accounts A track record of developing BDRs who move successfully into enterprise Account Executive roles Experience building enterprise prospecting playbooks where none existed Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot Experience in API-first, consumption-based, or platform business models Background in AI or machine learning, cloud infrastructure, or developer platforms Familiarity with enterprise procurement, security review, and legal processes 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 — $350,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's go-to-market organization is growing quickly, and our most important priorities for customers and for our field rarely sit within one team. Priorities cut across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, Partnerships and more. We're looking for a strategic program manager to own these initiatives end to end. You'll start with an ambiguous ask, sometimes from a senior leader and sometimes from a signal in the data. You'll find the root cause of the problem and design a solution with subject-matter experts across the company, then drive it from strategy to planning to results to iteration. You’ll bring stakeholders along while still moving quickly to the right answer. The work ranges from large cross-functional programs to short, focused SWAT efforts on urgent questions. Success looks like making better decisions, faster, for our customers and our field. This is a strategic, highly cross-functional individual contributor role for someone equally comfortable building a business case, running a forum with senior stakeholders, getting into the data, and working directly with the field. You'll operate with high autonomy on the most critical GTM questions we face. Key responsibilities Own a portfolio of strategic GTM programs end to end, each starting from a business problem (e.g., customer activation, seller efficiency, model launches) and running from scoping through launch, operationalization, results, and iteration Act as a thought partner to Sales and GTM leaders: identify, scope, and prioritize the programs most worth doing, and say no to the rest Turn ambiguous, loosely scoped problems into structured analysis, a defensible model, and a clear plan with owners, milestones, and decision points Align and drive teams across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, and Partnerships without formal authority over any of them Engage senior executives on the status and outcomes of the most critical programs Manage change so new programs are adopted by the field, and define and report on success metrics such as adoption, time-to-value, and productivity impact Use AI tools every day to analyze, model, and build faster Create the templates, cadence, and reporting that help every future program launch well Minimum qualifications Have led complex cross-functional programs from problem definition through delivery, in strategy consulting, strategy and operations, GTM or sales programs, or program management A track record of turning ambiguous problems into clear, defensible recommendations Have driven initiatives to completion across teams you do not manage, including when senior stakeholders disagreed Analytical skills: building a business case and quantitative model, defining targets, and pulling and analyzing your own data from CRM and BI tools Clear written and verbal communication, with experience presenting analysis and recommendations to senior and executive audiences A working understanding of how an enterprise sales organization operates Have built programs or processes where none existed, and owned the outcome through to results Are motivated by Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications A background in strategy consulting followed by an in-house role where you built and ran programs and strategic projects Experience running sales or GTM programs with measured results, such as pipeline, activation, adoption, or launch programs Experience working within a sales operating cadence, such as forecast calls and pipeline reviews, Sales planning, product launches Hands-on experience using AI tools daily to work faster and more rigorously, including building workflows with Claude or similar tools Experience at a company selling technical or AI products Experience as an early hire in a new team or function 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: $270,000 — $310,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced Corporate Development professional to drive key strategic initiatives, including sourcing and executing acquisitions and strategic partnerships. In this role, you will partner directly with key members of Anthropic's leadership team to shape our growth strategy and help build the ecosystem around safe, beneficial AI, grounded in Anthropic’s strategic priorities. As a critical strategic partner, you'll identify opportunities for expansion, lead complex transactions, and ensure successful integration of new capabilities into our organization. The ideal candidate brings a unique combination of strategic thinking, technical understanding, and execution capability. You're passionate about AI safety and Anthropic's mission to create AI systems that are helpful, harmless, and honest. You thrive in ambiguous environments and can navigate complex negotiations while maintaining strong relationships across multiple stakeholders. Key responsibilities Help shape the corporate development function, establishing best practices across the full spectrum of transactions from acquihires to transformational acquisitions Partner closely with cross-functional product, engineering, and research teams to understand and assess the technical and strategic value of potential opportunities Lead end-to-end transaction processes, from initial sourcing through due diligence, negotiation, and integration Create streamlined processes for rapid evaluation and execution of technical talent acquisitions Build and maintain relationships with entrepreneurs, venture capitalists, and strategic partners in the AI ecosystem Conduct comprehensive market analysis to identify emerging trends, competitive dynamics, and growth opportunities in AI and related technologies Structure and negotiate complex deals, working closely with legal, finance, and other cross-functional teams Drive post-transaction integration efforts, ensuring successful realization of strategic objectives Develop financial models and valuation analyses to support investment decisions Present strategic recommendations to executive leadership and board members Support the growth of Anthropic's partnership ecosystem, including relationships with cloud providers and enterprise customers Minimum qualifications Possess strong technical understanding through either work experience (as a software engineer, product manager, or investor) or educational background (Computer Science degree or equivalent) Demonstrate exceptional analytical and financial modeling skills Have experience leading complex M&A transactions or strategic partnerships in technology sectors Excel at building relationships and can effectively engage with technical and business stakeholders Are comfortable operating in fast-paced, ambiguous environments with competing priorities Possess outstanding communication skills, both written and verbal, with ability to influence at all levels Have a deep interest in AI safety and alignment with Anthropic's mission Preferred qualifications Have 12+ years of corporate development experience, with demonstrated success building or significantly scaling corp dev functions at high-growth technology companies Have direct experience in AI/ML companies or deep learning research environments Bring an established network within the AI startup ecosystem and venture capital community Have led post-merger integration efforts or built new business units from the ground up Possess an MBA or advanced technical degree Have experience negotiating complex strategic partnerships with major technology companies Demonstrate a track record of identifying and executing transformational opportunities Show experience with international expansion or cross-border transactions 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: $325,000 — $425,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Anthropic’s mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can’t keep up with. Anthropic’s Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader. You will build this team from zero. You’ll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You’ll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You’ll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it. What you’ll do Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals. Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount. Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer’s security review sets the close date. Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence. Work alongside the security ISVs, systems integrators, and managed security providers already in our customers’ accounts. Keep a clear line between what Anthropic delivers and what partners deliver. Bring in Applied AI Engineers and our security, legal, and trust teams when a customer’s build or review needs them. Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time. Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers. You may be a good fit if you Have 12+ years of industry experience with at least 4 years  managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you. Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment . Application security experience highly preferred. Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed. Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales. Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Strategic Finance Lead to provide finance leadership for our network infrastructure. In this role, you will be a key partner to our infrastructure teams, providing financial expertise and guidance to optimize our networking investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of networks, from the monthly cost of connectivity and colocation to the long-range planning of fiber and data center builds. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment. Key responsibilities Finance lead for network capex and opex, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance Build and maintain detailed bottoms-up data-driven financial models for network infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling Develop expertise in connectivity, colocation, and equipment contracts, pricing structures, and cost drivers, and surface optimization opportunities Subject matter expert on Anthropic’s network buildout, source of truth and plan of record Support the implementation and management of financial planning and procurement tools, ensuring our models and processes scale with the organization Analyze the economics of build, lease, and service options for network capacity, including ROI across dimensions like term, route, and ownership, and distill into actionable framework for capacity planning and deployment Partner closely with network engineering teams to understand how capacity, lead times, and site readiness scale, and translate those technical dynamics into financial frameworks Minimum qualifications Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Proven track record of partnering with technical teams to drive financial optimization initiatives Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines Strong relationship building, business judgment, process management, and communication skills Are passionate about Anthropic's mission to build safe, transformative AI systems Are passionate about the effective integration of AI tools to streamline manual finance workflows Background in network, telecom, or large-scale computing infrastructure, including data centers, cloud service providers, etc Preferred qualifications 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with telecom, datacenter, or network infrastructure experience 3+ years of experience specifically in network infrastructure financial management Experience working directly with major carriers, colocation providers, or hardware vendors MBA or other advanced degree in finance, economics, or business Expertise in connectivity, equipment, or lease economics, contract structures, and pricing models Experience with capital project or long-lead equipment economics Proficiency with financial modeling tools and languages (SQL, Python, Excel) Experience building a computer, homelab, or home network from scratch 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: $240,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Platform Safety builds the infrastructure that lets Anthropic bring its most capable models to more people, safely and securely. Our systems decide both who can access our most advanced models, and what capabilities they can access, wherever Claude is available. That includes identity and business verification, trusted access programs, and the core services that grant, hold and enforce model access across our products. These systems already power the Cyber Verification Program, which now includes Project Glasswing, and the Life Sciences Verification Program with further more advanced use cases in development. As a Staff+ engineer, you'll help set the technical direction for this work. The foundations are live and adoption is growing quickly, so the next challenge is scale: making access a matter of configuration instead of code, making verification reusable, and giving customers a consistent experience on every surface. You'll work closely with safeguards, product, design and research to turn safety policy into systems that are easy to use and enforce. You'll also take new 0 → 1 efforts from idea to delivery as new capabilities and programs emerge. What you'll do You'll design, build and operate the systems that decide who gets access to our most capable models. You'll build the platform that lets teams across Anthropic launch and run trusted access programs, moving access rules out of code and into data so that launching a new model or complex program is simple and scalable. You'll build out our identity and business verification system (KYC/KYB) as a reusable service that any program can use, which means integrating verification vendors, protecting sensitive personal data, expanding into new regions, and building fair review and appeal paths for customers. You'll also evolve the core services behind every access decision, including the services that grant and hold access and the customer and user identity models they rely on, and keep them highly available and consistent across our own products and cloud platforms. You'll shape the architecture through clear written proposals, review key designs, and mentor engineers on a growing team. You'll also share on-call, lead incident response, and support emerging new programs. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer, ideally at tech lead level or equivalent, and are comfortable working across the stack when the problem calls for it Have strong product sense, and work closely with cross-functional partners, including non-engineers, to shape and execute strategy in new domains Use AI tools as a regular part of how you design, build and review software Have designed and operated production distributed systems on a critical path, where correctness, latency and availability all matter Take full ownership of your work, from design through build, deployment, operations and iteration Navigate ambiguity and make sound technical decisions independently, have set technical direction that other engineers and teams adopted, and have ideally operated in both 0 → 1 and more mature settings Care about building robust, scalable systems that other engineers and businesses love to use Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: Identity, access control or authorization systems at scale Fraud, risk, trust and safety, or KYC/KYB systems, including working with verification vendors Regulated or compliance-sensitive environments, including handling sensitive personal data Integrating with cloud platforms or partner ecosystems such as AWS, Google Cloud and Azure Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As Manager, Cybersecurity Sales Specialists, you'll build and lead the team of cybersecurity specialists who sell to security teams across our Americas business units, including financial services, healthcare and life sciences, and technology. Your team partners with the Account Executives in each industry to lead the security strategy and the security deal with CISOs. You'll help shape how Anthropic sells security: how your team covers the business units, how it works with the Account Executive and Applied AI organizations, and how what we learn from customers shapes what we build. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well, and this team is how we get it into their hands. Responsibilities Hire, onboard and develop a high-performing team of cybersecurity sales specialists Own your team's forecast, pipeline health and results across the business units you cover Set your team's coverage model, and agree on clear rules of engagement with the sales leaders who own each industry and with Applied AI leadership on discovery, proofs of concept and architecture Build a pipeline engine with the Account Executives, across their existing accounts and through outbound to security leaders, events and partners Coach your team through complex deals that lead with the customer's problem (finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely), and act as executive sponsor with CISOs on the most important ones Make security reviews, verification for security use cases, and procurement a repeatable path rather than a deal-by-deal effort Scale enablement so Account Executives across every business unit can spot and qualify security opportunities Bring what your team hears from security customers to sales leadership and to our product, safeguards and marketing teams, and turn it into input on the roadmap Run a healthy team: clear expectations, regular feedback, and performance and development conversations Minimum Qualifications Experience building and leading a cybersecurity sales team that carried a number, whether direct, specialist or overlay, including hiring, coaching and managing performance Track record of closing complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver, and of coaching others to do the same Fluency in how security teams work, built by selling directly to CISOs, application security leads and security engineers Depth in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security History of building a business before there was an established approach, through outbound and partners rather than inherited accounts Ability to lead through influence as well as authority, so that Account Executives and their leaders bring your team in because it helps them win Consultative approach to selling and coaching: understanding the problem before proposing anything, and being honest about what a product can't do Commitment to making AI systems safe and beneficial Preferred Qualifications Background selling security in one of the industries we cover, and an understanding of how security is bought and regulated there Experience managing managers and individual contributors, or scaling a sales team through fast growth Experience leading teams selling AI, developer or data platform products to technical buyers Time spent as a security practitioner or sales engineer before moving into sales 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: $450,000 — $550,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: City of Johannesburg, Gauteng Workplace: hybrid As Financial Markets Analyst, South Africa, you’ll create clear, accurate and engaging content about financial markets for a South African audience. You’ll explain market movements, macroeconomic events and product concepts in a way that retail clients, media partners and internal stakeholders can easily understand. The role combines market analysis, writing and education. You’ll work closely with the Brand, Communications, Marketing, Commercial, Legal and Compliance teams to make sure everything we publish is accurate, balanced, client-centric and appropriate for a regulated financial services environment. This is a content, education and market-commentary role. It doesn’t involve giving advice, managing portfolios, dealing or making trade recommendations, and all content must stay in line with Capital.com’s execution-only, non-advisory model. Capital.com South Africa is an Authorised Financial Services Provider and an FSCA-approved Over-the-Counter Derivative Provider. Responsibilities: • Produce regular market commentary across major asset classes, including indices, equities, commodities, foreign exchange, crypto assets and key macroeconomic themes. • Prepare and contribute to written content for publication, including market updates, educational articles, explainers, and website content. • Create educational content that helps clients understand financial markets, CFDs, leverage, margin, risk management concepts and platform/product mechanics. • Work with Compliance to ensure market commentary and educational content meet applicable regulatory, financial-promotion and brand standards. • Monitor market news, economic calendars and relevant local/international developments to identify timely content opportunities. • Collaborate with central content, brand and communications teams to adapt global market themes for the South African audience. • Maintain a consistent tone of voice: clear, balanced, factual, risk-aware and suitable for a regulated, execution-only business. Requirements: • 3-5 years' experience in financial markets content, brokerage education, market research, fintech, trading education or a related financial-services environment. • Bachelor's degree in Finance, Economics, Commerce, Investment Management, or a related field. • Strong understanding of financial markets, including FX, indices, equities, commodities, macroeconomic data, market sentiment and derivative products such as CFDs. • Excellent writing ability, with experience producing clear and publishable financial markets content for external audiences. • Good judgement in distinguishing general market commentary and education from advice, recommendations, trading signals or personalised guidance. • Comfortable supporting media-facing activity, including preparation for seminars, webinars, podcasts, video content or written Q&A. • Fluent in English. Advantageous: • SAIFM / RPE modules, particularly Introduction to Financial Markets, Regulation and Ethics, or Derivatives. • RE5 regulatory exam. • Additional South African language skills would be beneficial but are not essential. Local market knowledge: • Understanding of the South African financial-services landscape, retail investor behaviour and local media environment. • Awareness of FSCA expectations for financial promotions, fair client communication and conduct risk in financial-services marketing/content. What will you get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely 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: £195,000 — £280,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 - USA Workplace: Remote The R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Chainalysis data has helped solve some of the world’s highest-profile criminal and national-security cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data — connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It’s the intelligence data moat beneath every Chainalysis product, and what investigators, sanctions authorities, and national-security agencies rely on to follow the money and disrupt threats. Few domains demand more sustained depth than Russia and the broader Eurasian sanctions-evasion ecosystem. Since 2022, sweeping sanctions on Russian financial institutions, oligarchs, and the defense-industrial base have pushed a growing share of Russian value flows into cryptocurrency — from no-KYC exchanges and OTC desks operating across the former Soviet bloc, to sanctions-evasion networks exploiting stablecoins and cross-border payment channels, crypto-denominated procurement of restricted goods, and the financial infrastructure supporting Russian cyber and ransomware operations. Understanding how Russian actors adapt to sanctions pressure on-chain is one of the most consequential problems in crypto intelligence today. As our Russia & Eurasia-focused intelligence analyst — the team’s subject-matter expert on Russian and Eurasian crypto threats — you’ll own that problem end to end. This is a depth role: while our analysts cover the breadth of the crypto-services ecosystem, you’ll go deep on a single, high-stakes domain — becoming the person, inside Chainalysis and increasingly across the industry, who understands how Russian and Eurasian actors use crypto to evade sanctions and can prove it on-chain. You’ll own the attribution for Russia’s crypto footprint, map how these networks operate and adapt under pressure, turn that into finished intelligence customers act on, and be the expert voice representing Chainalysis on Russian crypto threats. Who you’ll work with You’ll join a fast-moving, globally distributed team — analysts, threat-domain SMEs, data scientists, and engineers — collaborating across time zones, async and in real time. We move fast, hold each other to a high bar, and back each other up across regions. As the Russia & Eurasia SME, you’ll be the single point of depth for the domain and a force multiplier for everyone working adjacent to it. In this role, you’ll: - Own Russia & Eurasia attribution end to end — the threat-actor entities, their definitions, and the accounts, addresses, and infrastructure they operate: Russian and CIS no-KYC exchanges, OTC networks, and instant swap services, sanctions-evasion infrastructure (stablecoin corridors, cross-border payment channels, nested services), Russian-linked ransomware and cybercrime ecosystem financial flows, procurement networks for restricted and dual-use goods, and the broader financial infrastructure enabling Russian value movement outside the traditional financial system. - Lead the attribution response to Russia-related sanctions events — when OFAC or allied authorities designate Russian entities, actors, or infrastructure, drive the rapid, high-visibility on-chain attribution that turns those designations into coverage in our data, often against the clock. - Map the networks on-chain — trace how Russian and Eurasian actors raise, move, launder, and cash out value through regional exchanges, no-KYC swaps, OTC desks, stablecoin corridors, mixers, and off-ramps across the former Soviet bloc and beyond, and keep that picture current as they adapt to pressure. - Produce finished intelligence — advisory notes, customer and partner briefings, and contributions to flagship publications (the Crypto Crime Report and beyond) that make the Russia & Eurasia crypto threat legible and actionable. - Be the named external expert — represent Chainalysis on Russia & Eurasia crypto threats at conferences, on panels, with the press, and in briefings to public- and private-sector partners. - Help set the Russia & Eurasia collection agenda — surface what data we need on Russian and Eurasian networks and feed those requirements into our collection process and priority intelligence requirements; you direct collection for the domain, but it runs through the team’s apparatus and prioritization, not you alone. - Translate typologies into detection — turn what you learn about Russian methods and sanctions-evasion typologies into guidance that our products and our customers can operationalize. - Build with AI — design and tune the automation that scales your analysis and the team’s, and handle the hard cases automation can’t. - Level up the team — raise the bar on Russia & Eurasia and sanctions-evasion tradecraft broadly, and partner closely with analysts, other SMEs, data science, and engineering. We’re looking for candidates who have: - Deep, demonstrable Russia & Eurasia expertise — real command of the Russian sanctions landscape, Russian financial infrastructure and how it has adapted to sanctions pressure, the CIS/former Soviet bloc crypto ecosystem, and/or Russian illicit-finance and procurement networks. This is the core of the role, and we’ll expect you to show it. - On-chain tracing ability against Russian targets — direct experience following Russian crypto activity on-chain (Russian exchanges, sanctions evasion, ransomware financial flows), or deep Russia threat-finance expertise paired with proven blockchain-tracing skill you can bring to bear here from day one. - A national-security or threat-finance background — intelligence, sanctions, counter-threat-finance, or investigations, from the IC, Treasury/OFAC, law enforcement, the military, a think tank or research institution, or private-sector CTF/sanctions work. - Regional fluency — a strong grasp of Russian and Eurasian geopolitics, the sanctions landscape, and regional financial flows. Russian language ability is a significant plus. - Elite potential and a proven track record — exceptional aptitude, judgment, and work ethic; you’ve led hard problems end to end and you raise everyone around you. - Excellent writing and communication — this is an outward-facing expert role; your intelligence has to land with analysts, customers, and senior audiences alike. - AI-forward instincts — you build automation to scale your work and others’, not just use it. - Comfort working with data; blockchain forensics experience strongly preferred. - 5+ years of relevant analytic, intelligence, or threat-finance experience for a Senior hire; 8+ years and recognized domain authority for a Staff hire. You might also have: - Russian language ability. - Direct experience with OFAC, EU, or OFSI sanctions, sanctions-evasion investigations, or the designation process. - A record of published research or public speaking on Russia, sanctions evasion, or crypto threat finance. - Familiarity with Russian and CIS exchange infrastructure, stablecoin-based sanctions evasion, ransomware financial flows, or dual-use procurement networks. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: New York City, NY | Seattle, WA; 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 Anthropic is looking for a Staff+ Software Engineer to work on the vector search infrastructure behind Claude. Retrieval is how Claude learns about the world. Web search across claude.ai, the API and agentic surfaces, memory across conversations, and the reinforcement learning workloads that train our next models all depend on fast, cheap, high-recall nearest-neighbor search over billions of vectors. You'll join a small team responsible for the vector database layer that serves Claude's retrieval workloads: its architecture, performance, scalability and cost. This is a foundational role. The team is small, core architectural decisions are still open, and the engineers who join now will shape how the system evolves. The role sits in our Databases organization and works day to day with the Search Platform team, which owns web search indexing, retrieval and serving, and the Memory & Search team, which owns search and memory inside claude.ai. We're looking for someone who has built vector or search systems that ran in production, at scale, with real users and a real on-call. You'll be hands-on in the code, and you'll also be the person deciding how the pieces fit together. Key responsibilities Own the core of Anthropic's vector database layer: index structures, storage layout, query execution and the serving layer Own production readiness - benchmarking against exact search, capacity planning, onboarding new workloads, and the operational tooling to run it at scale Drive the recall, latency and cost trade-offs - quantization, filtered search, index build and refresh strategy, and how compute and storage are separated and scaled Scale throughput by an order of magnitude as research and training demand grows, and work out whether the bottleneck is architecture, hardware or engineering bandwidth Extend the retrieval stack toward hybrid retrieval - lexical search and fused ranking alongside vector search Set the evaluation methodology for the system -  recall targets, latency objectives, cost per query, and the regression detection that keeps them honest Set technical direction for a growing team - lead design reviews, make architectural decisions others build on, and mentor the engineers joining the effort Share the on-call for the systems you own Minimum qualifications Direct experience building a vector database or approximate nearest-neighbor search system that ran in production at scale Deep knowledge of ANN index structures (graph-based, clustering-based or disk-resident approaches), vector quantization and filtered search Experience with search relevance and ranking Strong systems programming skills in a language such as Rust, C++ or Go, including performance-critical and memory-intensive code Experience designing and operating large-scale distributed storage or serving systems with strict latency and reliability requirements A track record of independently scoping and delivering ambiguous, multi-quarter technical projects Strong written and verbal communication, with experience driving alignment across teams with different priorities Interest in AI safety and Anthropic's mission Preferred qualifications Experience with object-storage-backed or disaggregated compute and storage database designs Experience building or operating full-text search engines (inverted indexes, BM25) or hybrid retrieval systems Familiarity with embedding models and the retrieval demands of LLM training and inference Experience using GPUs or other accelerators for index build or search Prior experience as a technical lead on a database or search infrastructure team 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Germany Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on public sector and defence accounts in Europe, particularly in Germany. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Ministries, Agencies, and defence organisations across Europe. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government and defence engagements. Location: Germany Eligibility: This individual must be a German citizen living in Germany and fluent in German, enabling immediate engagement with critical defense and national security customers. Security Clearance: German security clearance is not required, but is a strong nice-to-have. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for Germany and broader European public sector and defence customers, from initial deployment through production scaling - Serve as the primary technical program point of contact for customers, building trusted relationships with departmental CIOs, IT directors, and technical teams - Translate complex public sector and defence requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans - Navigate complex procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: - Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, pubic sector and defence leadership - Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds - Present technical roadmaps and status updates to senior stakeholders including departmental executives - Represent Cohere's technical capabilities in sensitive government and defence contexts. Complex Program Management: - Create and manage project schedules that account for public sector and defence timelines, security review processes, and approval cycles - Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams - Navigate risks unique to government and defence deployments: privacy compliance, security, political and regulatory, technology and infrastructure. - Drive alignment between product development priorities and specific customer requirements. Technical Delivery & Execution: - Ensure on-time delivery of AI solutions that meet security, privacy, accessibility, and performance standards - Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support - Establish governance checkpoints appropriate for high-stakes government and defence deployments - Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments. You May Be a Good Fit If: Required Experience: - 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery. - Excellent executive communication and stakeholder management. - Experience working with government, defence, or heavily regulated customers. - Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements. - Bachelor’s degree in a relevant field; advanced degree or technical certs a plus. Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. Government & Defence Acumen: - Deep understanding of how government and defence organisations procure, evaluate, and deploy technology - Familiarity with European government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications - Understanding of defence and national security considerations in AI deployment - Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset - Eligible to obtain a German security clearance Nice to Have: - Active German security clearance - Bilingual (English/German) proficiency - Background in or strong familiarity with European defence, intelligence, or critical infrastructure sectors - Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments - Project management certification (PMP, PgMP) or government-specific methodologies. Security Clearance Requirements This role strongly prefers eligibility for German government security clearance. We are looking for candidates eligible for German government clearance, meaning that they require German citizenship. In addition, this individual is required to be based in Germany and be fluent in German as this will enable immediate engagement with critical defence and national security customers. What Makes This Role Unique This isn't typical program management - it's a highly specialised role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organisations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability. If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.