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Location: San Francisco; New York City Workplace: Hybrid About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role 💭 We’re looking for a commercially minded, AI-native BDR who enjoys understanding what technical teams are building and finding thoughtful ways to start conversations with them. You’ll combine account research, AI-assisted prospecting and engagement with the startup community to create qualified opportunities for our sales team. This is a hands-on outbound role: researching accounts, reaching out, following up and qualifying prospects are central to the job. Responsibilities ✔️ - Creative Outbound Prospecting: Generate new leads through targeted outbound activities, including cold calls, emails, LinkedIn outreach, events and other channels. We are looking for resourcefulness and innovation crafting new outbound strategies. - AI-Powered Workflows: Build and improve lightweight AI-assisted workflows for account research, identifying relevant buying signals and preparing outreach. Validate sources, review messages before sending and use results to refine your approach. The goal is more relevant conversations and qualified opportunities, not automation or message volume for its own sake. - Account Research: Research and identify key prospects, decision-makers, and stakeholders within target accounts to tailor your outreach efforts. Understand what a company is actually building — their stack, their auth setup, their scaling problems. - Lead Qualification: Engage with prospects to understand their pain points, business needs, and how WorkOS can help solve their challenges, qualifying them for the sales team. - Pipeline Development: Set up high-quality meetings and demos for Account Executives by nurturing leads through the sales funnel. - CRM Hygiene: Diligently log all prospecting activities, conversations, and pipeline data in Salesforce (or other CRM systems) to maintain accurate records and forecast pipeline health. - Metrics-Driven: Meet and exceed monthly quotas for outbound activities, including the number of meetings set, emails sent, calls made, and qualified opportunities created. - Continuous Learning: Stay up-to-date on industry trends, WorkOS product developments, competitor offerings, and what's changing in AI and developer tooling — so you can position yourself as a trusted advisor to technical buyers. Qualifications 🌟 - Experience: You have experience creating opportunities for a product, business or community. That could come from sales development, growth, partnerships, community building, a startup or your own project. A BDR title isn’t required, but you should be able to explain how you identified an audience, earned their attention, followed up and turned interest into a meaningful next step. - Target Personas: Experience outbounding to cofounders and CTOs. - AI-Native: You have personally built or materially improved an AI-assisted workflow and used it in practice. You can explain the problem, how the workflow works, what you contributed and how you checked its output. You know where automation helps and where human judgment is essential, and can describe what improved or what you changed when it failed. - Community Engagement: You actively engage with startup or technical communities and can share how you have contributed, learned from others or built useful relationships. This might happen through your work, online discussions, events, customer communities or a project. We value curiosity, consistent contribution and thoughtful follow-through, not the size of your network or who you know. - Writing Skills: Able to independently craft messages and campaigns to technical leaders. You use AI to draft and scale, but you have the judgment to know when the output isn't good enough to send. - Communication Skills: Excellent verbal and written communication skills, with the ability to craft personalized messages that resonate with different audiences. - Technical Aptitude: Comfort with understanding technical products and effectively communicating the value of WorkOS to both technical and non-technical stakeholders. Bonus if you can read API docs, poke at a codebase, or have shipped something yourself. - Tools: Experience with a modern sales stack and AI tools. Examples include Salesforce, Gong, Loom, Outreach, Claude, ChatGPT and Clay; experience with these specific tools is not required. - Curiosity & Adaptability: Willingness to learn, adapt quickly to new strategies, and stay curious about the industry and your prospects' needs. - Self-Starter: Highly motivated, self-sufficient, and able to manage your time effectively. - You are located in the greater San Francisco Bay Area, able to work locally, available for in-person meetings with clients and customers, and able to attend in-person events as needed. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats. We are particularly interested in candidates with deep expertise in either chemical defense or biodefense. You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm. Your specialized domain expertise will be critical to protecting against some of the most serious potential misuses of AI systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes You may be a good fit if you Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with threat actor profiling and utilizing threat intelligence frameworks Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership Strong candidates may also have Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information Background in AI safety, machine learning security, or technology abuse investigation Familiarity with synthetic biology, biotechnology, or dual-use research Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance 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: $230,000 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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; San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 looking for research engineers to build the safety and oversight mechanisms that govern how our models handle biological knowledge. As a bio safety researcher, you will spend your time: designing and running capability evaluations against frontier models, generating and curating training data for our safety classifiers, training and iterating on those classifiers alongside our ML engineers, and measuring how they hold up against adversarial pressure in production traffic. This work sits at the intersection of applied ML and biosecurity. You will help define what responsible AI safety looks like in the biological domain, translating threat models into evals, datasets, and deployed systems. The core technical tension you will own is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and you will be the person measuring it. You do not need to be an ML researcher today. We are looking for strong scientific programmers with real depth in modern biology who want to bring that depth to bear on model evaluation and classifier development. Key responsibilities Design, build, and run capability evaluations to assess what new models can do in the biological domain, and turn results into concrete deployment recommendations Develop training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Train, tune, and iterate on safety classifiers with ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Build the tooling and pipelines that make evaluation and classifier development fast and repeatable Analyze classifier and eval performance against production traffic, identify gaps, and prioritize improvements Design and run red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, and Policy teams to embed biological safety throughout the model development lifecycle Contribute to external communications including model cards, blog posts, and policy documents Track developments in biology, ML, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Strong proficiency in Python, and extensive background in scientific programming and data analysis skills Excellent grasp of ML fundamentals and an ability to rapidly adopt ML development practices Excellent knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Ability to build and maintain your own tooling rather than relying on others to implement your ideas Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Strong analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Can work independently while maintaining strong collaboration with cross-functional teams Are results-oriented, with a bias towards flexibility and impact Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration Preferred qualifications Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Have at least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience leading complex technical projects across multiple stakeholder groups The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $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: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Customer Success Manager at Harvey, you will own value realization for customers, helping to define the future of legal work at top enterprises and leading law firms. You’ll act as a trusted expert and guide customers through the process of integrating AI into the daily workflows of lawyers and other professionals. You will not only help customers to identify use cases for Harvey, but also help transform the practice of law. You’ll deeply integrate Harvey into your customers' business processes and workflows, build lasting relationships, and partner with Account Executives to renew and expand Harvey’s strategic partnerships. WHAT YOU’LL DO - Onboarding: Integrate Harvey into customer workflows, guide administrators with data-backed best practices, ensure optimal use of our AI solutions. - Training & Enablement: Champion the power of Harvey as you meet with end users and position Harvey as essential to strategic legal work. - Relationships: Navigate complex organizations as the primary contact, foster champions, engage executive buyers, and build loyal Harvey advocates. - Success Metrics: Align with customers on adoption rates, measurable value, and positive AI experiences to ensure customer value realization and ROI. - Expansion and Renewal: Collaborate with Account Executives to maintain customer renewal readiness and leverage customer needs to drive expansions. - Product Feedback: Represent customer needs internally and relay insights back to Product and Engineering, continuously improving the Harvey platform WHAT YOU HAVE Ideal candidates for the Enterprise CSM role at Harvey can demonstrate comfort and experience with the following qualifications: - 3-4+ years in customer-owning roles at tech or SaaS platforms - Fluent in Arabic - Adapting seamlessly in the face of high-speed change and growth - Strategic planning, revenue-based prioritization - Managing customer-facing projects and timelines - Running in-person meetings w/ executives - Mapping an organization and influencing stakeholders - Driving key customer metrics and outcomes - Owning a revenue, expansion, and renewal target - Demonstrating a strong point of view and proactive self-management - Working cross-functionally with Product and Sales teams DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Riyadh, Saudi Arabia As an E-Learning Systems Administrator at Müller's Solutions, you will be responsible for the management and support of our e-learning platforms and systems. Your primary duties will include the installation, configuration, maintenance, and troubleshooting of e-learning software and applications. You will ensure a smooth and engaging learning experience for all users by providing technical support, managing content, and collaborating with instructional designers to enhance the delivery of educational material. Key Responsibilities: Administer and maintain e-learning management systems, ensuring high availability and performance. Assist with the installation and configuration of e-learning software applications and related tools. Provide technical support and training to instructors and learners on the use of e-learning platforms. Manage online course creation, content upload, and user access permissions. Troubleshoot and resolve technical issues related to e-learning systems. Collaborate with instructional designers to implement updates and enhancements to the e-learning content and systems. Monitor system usage and analyze performance data to optimize e-learning delivery. Keep up-to-date with industry trends and best practices in e-learning and instructional technologies. Requirements Requirements: Bachelor's degree in Educational Technology, Computer Science, or a related field. 2-4 years of experience in administering e-learning systems or similar platforms. Strong understanding of Learning Management Systems (LMS) and e-learning technologies. Experience with content authoring tools and multimedia software. Excellent troubleshooting skills to resolve technical issues quickly and effectively. Effective communication skills to interact with technical and non-technical stakeholders. Ability to manage multiple tasks and prioritize effectively in a fast-paced environment. Familiarity with instructional design principles and practices is a plus. Preferred Qualifications: Experience with LMS platforms such as Moodle, Blackboard, or Canvas. Knowledge of SCORM and xAPI standards for e-learning content. Experience with analytics tools to track e-learning effectiveness and user engagement. Certifications related to e-learning or instructional design are a bonus. Proactive approach to staying informed on emerging trends in e-learning technology. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Belgrade Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

Location: Belgrade Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

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 Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We're the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast. When the product grows at hyper scale, we're the team that makes sure it feels the same or better. Beyond the foundation, we're building the agentic layer that turns claude.ai from a chat surface into an execution surface: task execution, personalization, browser use, and server-side tools. This is where the next generation of the product gets built: the primitives that let Claude act in the world, not just respond. We believe reliability and velocity are the same problem, and our job is to build the systems that make both inevitable. Key responsibilities Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services Build state management systems for long-running agent tasks, handling checkpoints, recovery, and resumption across failures Develop authentication and authorization frameworks for delegated access, so Claude can act on behalf of users securely Create observability and debugging tools for agent execution, so we understand what Claude did, why, and how to make it better Partner closely with product and research teams to define what's possible and ship it Minimum qualifications Experience building distributed systems, infrastructure, or platform services at scale Comfort building cloud native infrastructure on GCP, AWS, or Azure Experience with containers, sandboxing, or secure execution environments (e.g., gVisor, Firecracker, V8 isolates) Write clean, maintainable code in Python, Go, Rust, or a similar language Care about security, isolation, and building systems that fail safely Preferred qualifications Comfort with ambiguity and greenfield work where you help shape the architecture Interest in problems that don't have existing playbooks Experience building multi-tenant execution platforms or serverless infrastructure Background in security engineering, sandboxing, or isolation technologies Familiarity with workflow orchestration systems (Temporal, Airflow, Step Functions) Experience with state machines, checkpointing, or durable execution patterns Low-level systems experience (Linux internals, eBPF, container runtimes) 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: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Software Engineer at OnePay, your work will build the products & systems that serve our customers and run our company. You will play a crucial role in translating product visions into functional, high-quality applications and features. You will work closely with product managers, designers, and other engineers to deliver impactful solutions that enhance our customer's financial lives. You will: - Develop and implement new features, API's, and products. - Work closely with other engineers to ship code. We enjoy collaboration and partnering on hard problems.  - Architect and designing highly scalable and reliable products. - Building and maintaining documentation. As a growing and remote organization, having the necessary documentation is key to our success.  - Solve complex problems that arise at scale. We deal with real-world money movement and sensitive financial data at scale and are creating novel financial mechanics with no real precedent. YOU BRING - 5+ years of professional experience in product-facing backend development. - Strong track record of delivering high-impact features and products. - Experience building, maintaining, and optimizing API's. - Curiosity and passion for emerging AI tooling, with practical experience incorporating tools such as Cursor, GitHub Copilot, and Claude into real-world execution. - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Berlin, Germany Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior Product Manager specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities Develop a clear vision and prioritized roadmap for the Claims area and drive product success as a key contributor — from First Notice of Loss (FNOL) through to payout. Shape the automation of the claims process: rule-based and AI-supported claims assessment, straight-through processing, and efficient workflows through to settlement and payout. Drive structured discovery processes and write precise requirements so that, together with Engineering & QA, we can ship quickly and with high quality. Actively integrate AI into your daily work to operate at a higher level, e.g. using structured prompts for rapid prototyping, automated pipelines for user feedback, or data-driven specifications. Communicate priorities clearly to leadership and customers and measure the success of your features based on data, always keeping the user's voice in mind. Design seamless collaboration throughout the claims process for all stakeholders, from status communication and task management to dynamic document templates. 7+ years of product management experience in a B2B SaaS, InsurTech, or FinTech environment; experience with claims processes or insurance core systems is a strong plus. Strong operational drive and a clear focus on outcomes: you take real ownership from day one and drive initiatives through to successful implementation. AI fluency: You can clearly demonstrate how AI has made your work measurably faster or better in recent months (e.g. reusable prompts, AI-supported data analysis, automated workflows). Solid knowledge of agile frameworks and requirements engineering, as well as confident use of common PM tools such as Jira, Figma, and analytics platforms . Excellent analytical skills and business-fluent German and English (C1) , enabling you to confidently bridge the gap between technology and business.

Location: Paris, France About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. À propos du poste Rejoignez l'équipe Customer Success d'Anthropic en tant que Customer Success Manager basé(e) dans la région EMEA, alors que nous façonnons l'avenir de l'adoption de l'IA en entreprise. En tant que Customer Success Manager chez Anthropic, vous serez partenaire stratégique et conseiller de confiance de nos clients les plus complexes dans la zone EMEA, les aidant à exploiter pleinement le potentiel de toutes nos fonctionnalités Claude : API, Claude for Enterprise et Claude Code. Vous développerez de véritables partenariats avec les clients, acquérant une compréhension approfondie de leurs objectifs commerciaux, de leur orientation stratégique, de leur vision en IA et de leurs besoins techniques. Vous ferez appel à la fois à votre sens des affaires et à votre expertise technique pour agir comme conseiller stratégique tout au long de leur parcours chez nous. En partenariat avec l'ensemble de l'équipe chargée des comptes, vous aiderez les clients à identifier les fonctionnalités Claude les mieux adaptées à leurs objectifs commerciaux spécifiques, en travaillant en étroite collaboration avec eux pour leur fournir les meilleures pratiques et des conseils, tout en les aidant dans la croissance et l'évolution de leur utilisation (consommation et base) sur le siège. Votre rôle consiste à aider les clients à adapter efficacement leur utilisation, à mettre en œuvre des stratégies de gestion du changement, à optimiser les cas d'utilisation et à maximiser la valeur de leur investissement en élargissant les cas d'utilisation à l'ensemble de leur organisation. Les informations que vous recueillerez auprès de vos clients serviront directement à définir nos priorités en matière de recherche, de développement et de stratégies de commercialisation, vous permettant de jouer un rôle clé dans la manière dont nous créons et fournissons de la valeur en continu en tant qu'entreprise. En tant que l'un de nos premiers CSM dans la région EMEA, vous serez une pionnière en aidant à mettre en place des processus régionaux, à établir de nouvelles relations avec les clients et en représentant la marque Anthropic dans un marché en forte croissance. Vous travaillerez avec une grande autonomie tout en maintenant un alignement fort avec les équipes mondiales, ce qui requiert une personne qui s'épanouit dans des environnements ambigus et peut travailler efficacement dans différents fuseaux horaires. Responsabilités : Établir des relations de confiance et stratégiques avec les décideurs clés des clients EMEA afin de comprendre leurs activités et leurs objectifs, en identifiant des opportunités d'optimisation et d'expansion Devenir expert des produits Anthropic via API, Claude for Enterprise et Claude Code, en comprenant les nuances techniques et les meilleures pratiques de chacun afin d'orienter les clients vers les bonnes solutions Tirer parti de votre connaissance approfondie du client et des spécificités régionales pour piloter de manière proactive la planification de l'utilisation, en cernant les tendances actuelles et futures en matière de consommation et d'adoption, ainsi que la manière dont celles-ci se traduisent en valeur ajoutée pour le client Surveiller les schémas d'utilisation et identifiez les opportunités d'optimisation, en traitant de manière proactive la sous-utilisation des produits basés sur la consommation (API) et par abonnement (Claude for Enterprise / Claude Code) pour tirer pleinement parti des engagements contractuels Jouer le rôle de partenaire stratégique auprès des clients, en enrichissant leur connaissance des produits Claude grâce à la diffusion de la feuille de route des produits d'Anthropic, en faisant connaître les nouveaux produits et en impliquant les chefs de produit pour qu'ils se fassent le porte-parole des clients de la région EMEA Documenter et quantifier la valeur client réalisée grâce aux résultats commerciaux, au ROI et aux indicateurs d'impact afin de constituer des arguments commerciaux internes convaincants en vue de poursuivre et d'accroître les investissements Identifier les cas d'utilisation potentiels et les secteurs d'activité qui ne sont pas encore exploités, en collaborant avec les clients pour découvrir de nouvelles applications pour Claude au sein des différents services, équipes et flux de travail Élaborer et mettre en œuvre des stratégies de gestion du changement pour favoriser l'adoption par les utilisateurs finaux et maximiser la valeur au sein des organisations clientes, y compris des programmes de formation des formateurs, le développement de centres d'excellence et l'accompagnement organisationnel Gérer l'expérience client tout au long de son cycle de vie : gérer des comptes complets et des plans de réussite fondés sur les objectifs commerciaux du client, réaliser des bilans commerciaux trimestriels et servir de principal intermédiaire entre le client et Anthropic Contribuer au développement de la marque Anthropic et des relations avec la clientèle en tant que membre de la première équipe de service client de la région, en élaborant, si nécessaire, des processus, des guides opérationnels et des bonnes pratiques adaptés à la zone EMEA et tenant compte des cultures d'entreprise régionales Profil recherché : Vous avez plus de 6 ans d'expérience dans des fonctions en contact avec la clientèle (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer ou similaire) Expérience avérée en matière de réussite dans les modèles commerciaux basés sur la consommation et sur la location de places, avec une bonne compréhension des différents leviers de croissance et des indicateurs de performance associés Maîtrise technique et capacité à comprendre et à articuler les concepts d'IA/ML, les intégrations d'API et les modèles de mise en œuvre logicielle Expérience dans la présentation et la démonstration de produits techniques auprès de publics variés Mentalité stratégique pour identifier les opportunités de croissance et les traduire en plans d'expansion concrets Collaborateur polyvalent qui représente le client avec positivité et proactivité, en mobilisant l'ensemble de l'équipe autour de solutions permettant de répondre aux besoins du client Solides compétences en gestion de projet et capacité à gérer plusieurs relations clients Passion pour l'IA et intérêt pour le développement responsable de systèmes avancés Acquérir de l'expérience en travaillant et en contribuant au développement d'une région en pleine croissance, tout en jonglant avec les fuseaux horaires depuis le siège social situé aux États-Unis Un talent pour mettre de l'ordre dans le chaos et une mentalité enthousiaste de « retrousser ses manches ». Vous avez l'esprit d'équipe (Bonus) Maîtrise du français, de l'allemand, de l'espagnol ou de l'italien About the role Join Anthropic's Customer Success team as an EMEA 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 EMEA 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. As one of our early CSMs in EMEA, 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 EMEA 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 EMEA 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 the first in-region 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) Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strong 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 French, Spanish and English 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: €150.000 — €190.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Chicago, United States; Boston, United States; Austin, United States; Columbus, United States; Dallas, United States; Detroit, United States; Florida City, United States; Houston, United States; Indianapolis, United States; Kansas City, United States; Kirkland, United States; Los Angeles, United States; Miami, United States; Milwaukee, United States; Minneapolis–Saint Paul, United States; New York, United States; Newark, United States; Redmond, United States; Sacramento, United States; San Francisco, United States; San Jose, United States; Seattle, United States; St. Louis, United States; Tampa, United States; Richmond, United States Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Technical Account Manager to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. About client: It is a cybersecurity company offering a SaaS-based platform that protects organizations’ software supply chains from attack. Our mission is to protect companies from this rapidly growing threat, so they can stay secure while releasing their software quickly. Their Solution Success team bridges technical depth with business impact, guiding customers from pre-sales design through successful adoption, expansion, and advocacy. About the Role As a Senior Technical Account Manager, you’ll be a key technical leader within the Solution Success team, driving both pre-sales solution design and post-sales adoption. You’ll partner with sales, Engineering, and product teams to ensure customers realize the full business and security value of client’s Application Security Posture Management (ASPM) platform. This role is a blend of technical evangelism, architecture advisory, and customer success strategy, ideal for someone who loves shaping solutions, building trust, and driving outcomes from first demo to long-term renewal. Responsibilities Pre-Sales Engagement · Collaborate with Account Executives to design and present tailored solutions, addressing each customer’s technical and business needs. · Deliver high-impact demos, workshops, and proofs-of-concept (POCs) that demonstrate how Legit integrates with customer environments (CI/CD, SCM, cloud, etc.). ·Translate complex requirements into architectural blueprints, aligning Legit capabilities with customer workflows and security objectives. · Serve as the technical voice in sales cycles, building confidence across security, DevOps, Dev Orgs, and executive stakeholders. Post-Sales Solution Success · Lead onboarding and technical enablement for new customers, ensuring rapid time to value. · Act as a trusted advisor and escalation point, guiding best practices in secure software supply chain management. · Partner with the customer to drive adoption, expansion, and retention, identifying opportunities for upsell and deeper integration. · Conduct Quarterly Business Reviews (QBRs) with technical and executive audiences, highlighting ROI, risk reduction, and next-phase initiatives. · Advocate for customer needs with Product and Engineering, shaping roadmap priorities based on real-world insights. · Contribute to solution playbooks, architecture diagrams, and best-practice guides used across the customer lifecycle. · 7+ years of experience in Application Security, DevSecOps, or Software Architecture, with at least 3 years in a customer-facing technical role (e.g., Solutions Architect, TAM, or Sales Engineer). · Proven ability to architect and integrate SaaS security solutions across CI/CD, SCM, and cloud environments. · Strong familiarity with modern software development pipelines and tools (GitHub, GitLab, Jenkins, Azure DevOps, etc.). · Excellent communicator: able to present to both technical teams and executive stakeholders with clarity and confidence. · Experience leading pre-sales engagements and post-sales implementation/adoption. · Demonstrated success in building and scaling customer relationships: from onboarding through renewal and expansion. ·A self-starter mindset: thrives in fast-paced, high-growth environments, balancing strategic thinking with hands-on execution. Bonus Points · Background in Application Security Posture Management (ASPM) or DevSecOps tools. · Experience with solution design for enterprise SaaS in regulated industries.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a Usability Engineer for our Design Team. User Science is an evolving design discipline at Canonical. While we have long incorporated diverse research on user needs into our products, the mission of the newly formed User Science team is to expand beyond traditional models of UX research, integrating user needs end-to-end in development processes and quality standards across the company. This mission requires skillful advocacy as well as organizational learning and change. As process pioneers, we draw insights from others, foster collaborative user research cultures, and constantly innovate with frameworks and standards. Location: This role will be based remotely in the EMEA region. The role entails Collecting and synthesizing user data: Developing user insights in diverse formats, scientifically analyzing data from A/B tests, usability studies, and other methodologies to create compelling findings. Prototyping for impact: Building lightweight prototypes, data visualization dashboards, or automation scripts to enhance broader consumption of research. Responding to audience needs: Calibrating research presentations with sensitivity and precision in a highly technical environment, understanding what level of depth is right for each stakeholder. Promoting a data-informed culture: Working closely with process, product, and engineering teams to integrate user research into existing decision-making flows. Building research scalability and interoperability: Strengthening research ops infrastructure, making key methodologies more accessible, actionable, and repeatable. Fostering a learning culture: Contribute to the evolving definition of User Science through user-centered training, resource development, and outreach. What we are looking for in you Exceptional academic track record from both high school and university Bachelor’s or Master’s degree in a related field such as Design, Engineering, Data Science or similar, or a compelling narrative about your alternative chosen path. User research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis. Tinkerer mindset: A passion for hacking, exploring, and building creative solutions, whether through technical prototyping, scripting, or research tooling. A degree of technical fluency: Ability to quickly pick up technical concepts, engage deeply with engineering and process optimization teams, and contribute to cross-functional discussions. A talent for optimization: A strong alignment towards building research ops, systematizing best practices, and creating frameworks for broader knowledge-sharing. Finely tuned communication skills: Impeccable verbal and written communication abilities, characterized by warmth, precision, and a commitment to maintaining high-quality standards. Portfolio: A robust portfolio showcasing a range of user research, design, or engineering projects that show a talent for exploration, optimization, and transforming insights into action. Nice to have skills Experience with Linux. Some conceptual knowledge of container tech (such as LXD, Docker, Kubernetes), OpenStack deployment or operations, or public or private cloud management. Some experience with or interest in data analysis frameworks in Python (e.g. pandas, seaborn), R, MATLAB or similar. A proven track record of contributing to Open Source projects or communities. A passion for aesthetics, visualization, or design. What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

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're looking for a Software Engineer to join the team building Claude Security. In this role, you'll take new security capabilities in frontier models and turn them into products that customers can rely on, working across the full stack from early prototype through production. This role sits close to both research and go-to-market. You'll work with researchers on the team to understand what the models can do and where they fall short, and with customers and partners to understand which problems are worth solving for them. You'll be expected to form your own view from both and to own significant pieces of the roadmap, including deciding what not to pursue. The right candidate is a strong generalist engineer with the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Prior security experience is useful but not required; range across the stack and good judgment about what to build matter more. Responsibilities Build and ship user-facing and/or backend features for Claude Security Build the agent loops, tool integrations, and enabling infrastructure for cybersecurity products Collaborate tightly with product managers and go-to-market to understand user needs, shape feature scope, and make informed tradeoffs as you build Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis Collaborate with research teams to identify and develop new model capabilities for security applications You may be a good fit if you: Contribute across the stack, from front-end UI to back-end infrastructure Are proficient in TypeScript, Python, and/or Go and have experience building distributed systems Enjoy fast iteration and are energized by prototyping new ideas Are comfortable working closely with research and go-to-market teams Have strong communication skills and can work effectively across functions Have 7+ years of experience as a software engineer Strong candidates may also have: Experience building client-side terminal applications Experience developing cybersecurity products Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields Experience building skills, plugins, or hooks in Claude Code or similar tools Experience building with Claude Managed Agents or similar frameworks Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We’re looking for Research Engineers to contribute to our ambitious research agenda spanning multimodal foundational models, interactive world modeling, and real-time generation. This role is highly collaborative and will touch many aspects of our broader research efforts, taking a full-stack approach across pretraining, SFT/RL post-training techniques, evaluation, and bringing models to production. WHAT YOU’LL DO - Run experiments to teach world models new behaviors — action following, scene manipulation, camera control, and beyond - Develop and test new data strategies, architectural variants, and training techniques - Design evaluations that measure model capabilities, and use them to drive model improvement - Take features from research prototype to production, collaborating with product and creative teams to address application-specific gaps - Contribute across the entire stack (data pipelines, modeling, production inference) to move projects forward WHAT YOU’LL NEED - 4+ years of experience in machine learning research or engineering - Familiarity with the architecture, training, and inference of large-scale multimodal generative models - Experience building robust data pipelines for pretraining and post-training - Comfort working across the full research stack: data, training, evaluation, and deployment - Proficiency with at least one ML framework (e.g. PyTorch, JAX) and experience with distributed training at scale - Ability to context-switch quickly and drive projects forward in a fast-moving, ambiguous environment - Excitement about building AI that simulates the world Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive (Asset & Wealth Management) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading asset managers, wealth management firms, and institutional investors. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across asset management, wealth management, and institutional investment organizations. You'll leverage deep A&WM sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into research, portfolio management, client advisory, and operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for A&WM decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across asset managers, wealth managers, and institutional investors, and running the strategies to win them. By driving deployment of Anthropic's emerging products into A&WM enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across asset management, wealth management, and institutional investment organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Research, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate A&WM-specific needs — research, portfolio management, client advisory, operations — into product and roadmap input Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications 5+ years of enterprise sales experience in asset management, wealth management, or institutional investing, with demonstrated success covering buy-side or wealth advisory organizations A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within asset and wealth management Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Driven, coachable, and on a steep growth trajectory Preferred qualifications Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers or wealth management firms Deep familiarity with regulated-industry selling — data governance, fiduciary/compliance-driven procurement, security review, and the governance expectations of buy-side and wealth organizations Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience navigating long, multi-stakeholder enterprise cycles typical of institutional investment and wealth advisory procurement 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: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is looking to bring on a Macro Analyst to join the London based research team. The role will be to work primarily with the Equity teams, however, DRW, as a multi-asset proprietary trading firm, provides the opportunity to collaborate in a wide range of products as well.  The goal is to work with trading teams to provide insight into Delta 1 and volatility pricing as well as the structuring of trades.  As a Macro Analyst, you will be responsible for understanding the current environment and market drivers and translating that into a forward-looking view.  We are looking for a results driven individual who enjoys the challenge of understanding a situation in a much greater level of detail than anyone else in the market.  In addition to providing daily research updates and real-time coverage for the traders, this role will be an opportunity to build a scalable process which can extend to sectors, indices, and cross asset coverage.  Another responsibility will be liaising with external data vendors to evaluate their products and working with software developers to implement a suitable database on which trade ideas can be generated.  Understanding the impact of events on derivatives markets will be a key driver of success.  This is a rare opportunity to be in a research role where ideas can be translated into trades quickly and efficiently and a chance to be associated with the resulting revenue stream. Responsibilities: Provide real-time analysis on relevant macro stories and headlines Work with traders to structure trades around the research process output Develop sector wide themes and macroeconomic thesis Maintain dividend and earnings calendars Create implied probability distributions around important events Work with Software Engineers to develop automated web scrapers and other data analytics tools Manage external relationships with investor relations teams, sell side research desks and data vendors Engage with the DRW hiring process in order to help build out the team Requirements: Strong understanding of financial markets and global macro themes Extreme attention to detail and accuracy Strong understanding of descriptive statistics Coding capability in R , Python, Matlab or similar statistical language Ability to synthesize qualitative and sometimes messy quantitative information, from often disparate and incomplete sources Experience working with large data sets Understanding of options pricing and greeks Confident communicator For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-JW1