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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role A connected Claude is the difference between a general-purpose chatbot and a real coworker. We're building the connected enterprise on three fronts: zero-touch activation, a thriving connector ecosystem, and an enterprise control plane that lets organizations adopt with confidence. We own the path from discovering a connector to using it every day: default and suggested connectors, one-click setup, connector requests, and the identity and admin pieces that remove setup friction for a whole organization at once. You'll be a technical leader who owns activation end to end, from the moment someone sees a connector to their first successful use of it. You'll also help to shape the foundations that help the connector ecosystem grow, and the governance controls that make it safe at enterprise scale. You'll partner closely with product, design and data science, and carry real ownership over what we ship next. What you'll do Own connector activation end to end: measure the funnel from discovery to first use to habit, find the biggest drop-offs, and fix them Build and run experiments on default connectors, in-product suggestions, connector requests and onboarding flows Make setup close to zero-touch, building on open standards like Cross App Access (XAA) and the MCP authorization spec so one approval can turn a connector on for everyone Improve the connectors people reach for most, like Microsoft 365 and Google Workspace, so the first experience works and keeps working Lay platform foundations for the connector ecosystem: reusable building blocks that make every new connector easier to launch, discover and activate Build out the enterprise control plane: admin controls and governance (domain restrictions, labels, permissions) that help security teams say yes faster instead of blocking rollout Partner with product, design, data science and sales to turn usage data and customer feedback into priorities Set technical direction and standards for the team, mentor other engineers, and lead with influence rather than authority Minimum Qualifications Have shipped growth or activation work: onboarding flows, funnels, experimentation, and measuring what actually moves usage Are comfortable with authorization and identity (OAuth 2.0, OIDC, SSO), enough to make setup flows simple without cutting corners Have built on large platform APIs (Microsoft Graph, Google Workspace or similar) and can debug failures on both sides of the boundary Have built platform or ecosystem surfaces that other teams or developers rely on, and care about durable, well-designed APIs Understand what enterprise admins and security teams need from policy, permissions and governance at scale Use data and user research to decide what to build, and can explain the tradeoffs to product and design partners Drive cross-team and cross-company alignment to ship, with influence over authority Preferred Qualifications Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Contributed to or implemented emerging auth standards (IETF OAuth drafts, MCP authorization) Experience with data governance or information protection (sensitivity labels, DLP) Built admin consoles or policy engines for multi-tenant SaaS Run growth experiments on activation funnels Built AI products or agent tool integrations (MCP) Helped grow a developer or partner ecosystem around a platform The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's compute runs on a growing global portfolio of data centers built with development partners.  As a Senior Field Engineer on the Data Center Design and Engineering team, you will work side by side with developers, general contractors and engineers of record to resolve technical issues on site and speed up construction. You will spend most of your time on active sites, acting as our team's eyes, voice and technical judgment in the field. You will spot problems first, get the right people moving, and stay with each issue until it is closed. You don't need a data center background. We care more about whether you have delivered complex industrial projects from the field and can get contractors and partners to act when you have no formal authority over them. What you'll do Be our engineering presence on site. You will walk installed work against the approved design and build working relationships with developers, general contractors, engineers of record, vendors and commissioning teams. You will hold design acceptance on our team's behalf, deciding whether installed work meets the design. When field conditions and drawings disagree, you will be the first call. You will settle what you can on the spot and bring in the right discipline engineer for the rest. More than 50% of your working time will be at project sites, often with overnight travel across multiple sites. The rest will be remote from your home base. Get issues closed. You will keep one prioritized list of open engineering issues for your sites, each with an owner and a date. You will follow up in person, challenge dates that don't hold up, and escalate early with a clear recommendation when something is stuck. Find out why things fail. When equipment, an installation or a test fails, you will gather the evidence, test the first explanation, and trace the failure to its underlying cause. You will confirm that the fix works and check whether other sites carry the same risk. Clear the path to commissioning and handover. You will check the interfaces between power, cooling, controls and structure before they surface as test failures. You will drive RFIs, deviations and field changes to decisions, so that open engineering questions don't hold up the crews. Bring the field back into the design. You will turn recurring site problems into changes to our designs, standards and audit checklists. Each project should make the next one easier to deliver. What this role is not You won't manage construction crews or direct contractors' means and methods; those stay with our construction delivery partners. You will work with our discipline engineers and hold the field view, rather than produce design documents. You may be a good fit if you Have spent years on active project sites in energy, power, heavy industrial, data center or similar environments, as an engineer, project manager, or construction or commissioning lead Can read drawings, single-line diagrams, P&IDs, specifications and schedules well enough to see where they disagree with what's been installed Can give specific examples of persuading contractors, vendors or partners who didn't report to you to change course Hold your position under pressure, back it with evidence, deliver bad news early, and change your mind when the facts change Have led structured failure investigations, using a method such as 5 Whys or 8D, and seen the corrective actions through Write short, factual reports that a busy reader can act on Treat safety as your own job, and will stop work that isn't safe Have a degree in engineering, construction management or a related field, or equivalent practical experience Strong candidates may also have Experience as an owner's representative overseeing an EPC or general contractor Commissioning, startup or system turnover experience Worked in LNG, refining, offshore, power generation, semiconductor or naval environments An electrical, mechanical or civil, structural and architectural (CSA) engineering background A PE license, PMP or OSHA 30 certification Familiarity with tools such as Procore or Primavera P6 The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: South Africa About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: Full-time Job Summary We are looking for a high- energy , resilient Sales Development Representative to act as the engine of our growth. This is a pure outbound hunting role designed for a professional who thrives on the phones and enjoys the challenge of turning cold leads into warm opportunities. If you have a clear, professional South African accent and a drive to exceed high-volume targets, this is your chance to join a team that rewards grit and results. Key Responsibilities Execute high-volume outbound cold calling campaigns, averaging 150 dials per day. Build and maintain a robust pipeline by booking a minimum of 20 qualified calls per month. Overcome objections with confidence and navigate through gatekeepers to reach decision-makers. Meticulously track all activity and lead status within the CRM to ensure seamless hand-offs to the sales team. Stay current on industry trends and product knowledge to act as a credible first point of contact for prospects. Requirements Previous B2B sales experience is mandatory. Native-level English. Exceptional communication skills and the ability to build rapport quickly over the phone. Proven track record in a high-volume cold calling environment. Disciplined work ethic with the ability to maintain high energy levels throughout 150+ dials daily. A "hunter" mentality with a refusal to be discouraged by "no." Benefits 💰 Competitive base salary 🎯 Performance-based incentives 🌎 Fully remote work environment 📈 Long-term stability 🚀 Career growth opportunities 🎧 Professional and supportive sales culture

Location: Madrid, Spain At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Start-Up Associate II (SUA II) to join our A-team (hybrid*) in Madrid, Spain! The SUA coordinates and performs local site start-up activities of Allucent Study Start-up & Site Intelligence. This position executes essential document collection, Regulatory Authority (RA) and Independent Ethics Committee (IEC)/Institutional Review Board (IRB) submission/approval activities and acts as a main line of communication to RA/ IEC/ IRB as well as investigators and sites through the initial phase of a clinical study until the Site Initiation Visit. In this role your key tasks will include: Track relevant information, data, progress and milestones in CTMS and/or other tracking tools covering assigned Start-Up activities (as defined below) Ensure planned dates are reliable and up to date in CTMS departments/study teams File documents in the (e)TMF for which they are the document owner Assist other Study Start-up team members with filing documents in the (e)TMF for which they are document owner Assist in the preparation, compilation, submission and maintenance of regulatory documentation required by regulatory agencies for clinical trials at local level Provide relevant documents in compliance with local regulation Support review of technical, pre-clinical and clinical reports for regulatory submissions Interact with regulatory authorities Prepare and compile answers for questions raised by the regulatory agencies and submit the answers Regularly check for updates on regulations, guidelines and procedures. Ensure these updates are communicated and circulated as appropriate Support Global Regulatory Manager (GRM) and/or Global Submission Specialist (GSS) as needed Prepare, compile, submit and maintain ethical requirements and documentation required by IEC/IRB for clinical trials at local level Assist in providing and reviewing relevant documents in compliance with ethical requirements and per local legislation Interact with IEC/IRB Prepare and compile answers for questions raised by the IEC/IRB and submit the answers Regularly check for updates on regulations, guidelines, and procedures. Ensure these changes and updates are communicated and circulated as appropriate Assist in adapting country SIS/ISF to site-specific requirements Provide country specific requirements to GSCM impacting site contracts’ process Prepare, review, negotiate, and finalize Clinical Trial Agreements (CTAs), Letter of Indemnification (LOI), termination letters, budgets, and other site level agreements required for a clinical study Negotiate within client approved contract and budget templates and negotiation parameters Communicate with sites and internal personnel regarding the status of contracts and contract related documents Arrange translation of the final country CTA template and/or final negotiated contracts, where applicable Provide the final/draft CTA and site budget for submission, where required Obtain site signature as well as Sponsor/Allucent signature, as applicable Keep up to date with applicable local regulations impacting clinical trial contracts Assist in preparing the site-specific Essential Document Package and sending to sites Responsible for collection and first review of Essential Documents Provide the Global Essential Document Reviewer with the collected documents for independent review Follow up with the sites regarding all document discrepancies noted by the Global Essential Document Reviewer until resolution Obtain authorization for the shipment of Investigational Product to the site Track relevant information and data in CTMS and/or other tracking tools Requirements To be successful you will possess: Life Science degree or equivalent qualification or certification in a related allied health profession from an appropriate accredited institution. More than 2 years of experience in regulatory affairs in the pharmaceutical or biotechnology industry. A thorough knowledge of the country or region competent authority submission and reporting requirements and guidelines. A thorough understanding of the drug development process Good oral and written communications skills - fluent in Spanish and English. Attention to detail. Able to perform well as a team member. Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our in-office work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-BL1

Location: Dubai, United Arab Emirates Libertex Group Overview Established in 1997, the Libertex Group is an international powerhouse with over 28 years of financial markets expertise. Over the years, the Libertex Group has helped shape the online trading industry by merging together innovative technology, market movements and digital trends. This was made possible with the introduction of ‘Libertex’, the multi-awarded online trading platform with which anyone can access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. The Libertex Group in Numbers: • 27+ years of fintech experience • 3M+ clients worldwide • 700+ employees • 45+ international awards (for Libertex) • 300+ tradable assets (through Libertex) The Libertex Group is constantly driven by a single passionate purpose – to tirelessly work on developing amazing fintech for people who simply want to have ‘more’ in their lives. Job Overview The appointment of the Promotion Manager is contingent upon obtaining in-principle approval from the Securities and Commodities Authority. This ensures that the candidate meets all regulatory and compliance standards required for the role. SCA certification is desirable , yet can be obtained during the appointment process. The Promotion Manager will be a seasoned professional tasked with driving the company's growth in the MENA region through strategic marketing and promotional activities. This role is pivotal in enhancing the company’s visibility and client engagement in compliance with the regulatory framework established by the SCA. Requirements Main Responsibilities: Ensuring that all promotional materials and campaigns adhere strictly to SCA regulations. This includes verifying that all marketing messages are accurate, not misleading, and compliant with the SCA’s advertising standards. Developing and implementing effective marketing strategies tailored to the UAE This involves identifying target audiences, determining the most effective marketing channels, and setting clear objectives to achieve company growth. Overseeing the execution of promotional campaigns, from planning and creative development to execution and performance analysis. This includes managing budgets, timelines, and resources to ensure campaigns are delivered effectively. Working closely with other departments, such as legal, compliance, and sales, to ensure that all promotional activities are aligned with the company's objectives and regulatory requirements. Coordination with external partners and agencies will also be crucial. Ensuring that all content produced for marketing purposes, including advertisements, brochures, and digital content, is accurate, informative, and compliant with SCA regulations. Monitoring the effectiveness of promotional activities and providing regular reports on campaign performance, client engagement, and compliance status. This also includes staying updated on regulatory changes and adjusting strategies accordingly. Providing training and guidance to team members on regulatory compliance and best practices in marketing. Ensuring that the team is well-informed about SCA regulations, and the ethical standards expected in promotional activities. Qualifications and Experience: A university certificate along with experience for not less than (5) years in financial markets or in the relevant fields. Alternative qualification: Diploma certificate or less certificate along with experience for not less than (10) years in financial markets or in the relevant fields. Additional qualification and experience : Experience of not less than (5) years in financial markets or in the relevant fields along with: Master Financial Risk Manager (FRM) Master Financial Controller Certified Internal Auditor (CIA) Chartered Development Finance Analyst Certified Management Accountant (CMA) ICA Specialist Certificate in Conduct Risk. Benefits Udemy Business unlimited membership & language training courses Medical Insurance Professional and personal development opportunities in a fast-growing environment

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows 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: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £265,000 — £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: $350,000 — $500,000 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: Goodyear, United States Workplace: onsite Role type: Full-time Location: Goodyear, Arizona Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. GUS Education Arizona is a proud part of GUS. In collaboration with US partners, GUS Education Arizona is committed to delivering transformational educational opportunities in the USA. This position will support Avila University Arizona. Summary of role: The Student Services Coordinator is responsible for managing and coordinating student support services, administrative activities, and campus resources for all students at Avila University Arizona. The role holder assists with overseeing student progression and provides ongoing support and guidance to students, in addition to providing a high level of commitment to excellence and integrity in serving all key stakeholders. Key Responsibilities: Prepare a list of expected students for every intake and coordinate with the recruitment team to provide timely updates to management. Effectively plan and conduct student orientation, ensuring the orientation schedule is clearly communicated to all incoming students. Coordinate and actively participate in student residency weekends, campus activities, and other student-focused events. Provide students with guidance, resources, and support regarding housing and local accommodation options. Maintain up-to-date individual student files and follow up on incomplete documentation. Assist in the interim reviews of student records. Ensure faculty and teachers receive necessary support regarding classes, course materials, online access, schedules, and classroom resources. Provide basic technical support to students, staff and faculty as needed, troubleshooting routine issues and escalating complex problems to the appropriate technical support team. Communicate with students proactively regarding any schedule changes, policy updates, or important campus notifications. Ensure students receive efficient and professional resolutions to their inquiries, issues, or complaints. Register new students on the online Learning Management System (LMS) and verify that all students are enrolled in their required courses. Assist in preparing the list of required course books/materials, coordinate with suppliers, and manage the distribution of these resources to students. Assist in the development and drafting of the Student Handbook, ensuring program information and any policy or procedural improvements are accurately updated. Work closely with Academic Management and all department heads to continuously improve program delivery and enhance the overall student experience. Coordinate the progress test and exam schedules for each semester. Actively assist in the preparation and proctoring/invigilation of exams, and securely process, scan, and file marked assessments and student scripts. Assist with student refund inquiries and related communications from current and prospective students as required. Issue relevant documentation to students, including leave of absence requests, enrollment/attendance letters, course transcripts, and student ID cards. Upload student transcripts and academic records to required third-party portals or systems on a timely basis. Manage the daily operations of the campus student services desk and effectively address issues affecting any stakeholders. Provide basic technical support Perform other related duties as assigned. Qualifications: Undergraduate degree in a relevant discipline required. Minimum 2-3 years’ experience working in a higher education setting, ideally supporting a diverse student body including international students. Excellent communication skills, both verbal and written. Knowledge of higher education compliance standards and relevant institutional/state regulations. Acts with ethics, accountability, and integrity; demonstrates sound judgement and respect for the individual in all interactions. Proven ability to build trusting and productive relationships with students, faulty, and all key stakeholders. Excellent time-management skills and the ability to prioritize effectively in a busy campus environment. Ability to work well under pressure, adapt to changing situations, and meet tight deadlines. Work Conditions: Primary Work Environment: This position requires a primarily on-site presence at the Goodyear campus to actively support daily operations, student services, and campus events. Schedule Requirements: Occasional weekend or evening work is required to support student residency weekends, orientations, and other campus events. Physical Requirements: The role involves frequent work at a desk utilizing a computer and standard office equipment. It also requires occasional minor lifting (e.g., moving event materials, marketing collateral, or standard office supplies) and navigating the campus facility to oversee events, maintenance, and daily activities. If you feel this is the role you are looking for, please click below to apply for the role! We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS Education Arizona is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive, welcoming environment for all employees and students. All employment decisions are based on qualifications, merit, and campus needs, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Location: Goodyear, United States Workplace: onsite Role type: Full-time Location: Goodyear, Arizona Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. GUS Education Arizona is a proud part of GUS. In collaboration with US partners, GUS Education Arizona is committed to delivering transformational educational opportunities in the USA. This position will support Avila University Arizona. Summary of role: The Student Services Coordinator is responsible for managing and coordinating student support services, administrative activities, and campus resources for all students at Avila University Arizona. The role holder assists with overseeing student progression and provides ongoing support and guidance to students, in addition to providing a high level of commitment to excellence and integrity in serving all key stakeholders. Key Responsibilities: Prepare a list of expected students for every intake and coordinate with the recruitment team to provide timely updates to management. Effectively plan and conduct student orientation, ensuring the orientation schedule is clearly communicated to all incoming students. Coordinate and actively participate in student residency weekends, campus activities, and other student-focused events. Provide students with guidance, resources, and support regarding housing and local accommodation options. Maintain up-to-date individual student files and follow up on incomplete documentation. Assist in the interim reviews of student records. Ensure faculty and teachers receive necessary support regarding classes, course materials, online access, schedules, and classroom resources. Provide basic technical support to students, staff and faculty as needed, troubleshooting routine issues and escalating complex problems to the appropriate technical support team. Communicate with students proactively regarding any schedule changes, policy updates, or important campus notifications. Ensure students receive efficient and professional resolutions to their inquiries, issues, or complaints. Register new students on the online Learning Management System (LMS) and verify that all students are enrolled in their required courses. Assist in preparing the list of required course books/materials, coordinate with suppliers, and manage the distribution of these resources to students. Assist in the development and drafting of the Student Handbook, ensuring program information and any policy or procedural improvements are accurately updated. Work closely with Academic Management and all department heads to continuously improve program delivery and enhance the overall student experience. Coordinate the progress test and exam schedules for each semester. Actively assist in the preparation and proctoring/invigilation of exams, and securely process, scan, and file marked assessments and student scripts. Assist with student refund inquiries and related communications from current and prospective students as required. Issue relevant documentation to students, including leave of absence requests, enrollment/attendance letters, course transcripts, and student ID cards. Upload student transcripts and academic records to required third-party portals or systems on a timely basis. Manage the daily operations of the campus student services desk and effectively address issues affecting any stakeholders. Provide basic technical support Perform other related duties as assigned. Qualifications: Undergraduate degree in a relevant discipline required. Minimum 2-3 years’ experience working in a higher education setting, ideally supporting a diverse student body including international students. Excellent communication skills, both verbal and written. Knowledge of higher education compliance standards and relevant institutional/state regulations. Acts with ethics, accountability, and integrity; demonstrates sound judgement and respect for the individual in all interactions. Proven ability to build trusting and productive relationships with students, faulty, and all key stakeholders. Excellent time-management skills and the ability to prioritize effectively in a busy campus environment. Ability to work well under pressure, adapt to changing situations, and meet tight deadlines. Work Conditions: Primary Work Environment: This position requires a primarily on-site presence at the Goodyear campus to actively support daily operations, student services, and campus events. Schedule Requirements: Occasional weekend or evening work is required to support student residency weekends, orientations, and other campus events. Physical Requirements: The role involves frequent work at a desk utilizing a computer and standard office equipment. It also requires occasional minor lifting (e.g., moving event materials, marketing collateral, or standard office supplies) and navigating the campus facility to oversee events, maintenance, and daily activities. If you feel this is the role you are looking for, please click below to apply for the role! We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS Education Arizona is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive, welcoming environment for all employees and students. All employment decisions are based on qualifications, merit, and campus needs, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Location: Almaty, Kazakhstan Workplace: hybrid We are seeking a Business Assistant to support the Director of the inVision Foundation. The role manages the Director’s schedule, coordinates communication with employees, partners and external organizations, prepares materials for meetings and decision-making, and tracks tasks and deadlines to make sure agreed actions are completed on time. Key Responsibilities Manage the Director’s calendar: schedule meetings, appointments and business events based on priorities and deadlines. Keep the Director informed of upcoming events, important tasks and schedule changes. Coordinate the Director’s business travel, including travel and visa requests. Record the Director’s assignments, assign responsible employees and monitor deadlines. Maintain a task tracker, remind responsible employees of deadlines and update the Director on progress. Prepare regular summary reports on completed, ongoing and pending tasks that need the Director’s attention or decision. Coordinate communication between the Director, internal teams, partners and external organizations. Organize meetings, prepare agendas, record key decisions and follow up on agreed actions. Manage business correspondence in Russian and English. Prepare letters, official documents, presentations, spreadsheets and reports. Collect documents for the Director’s review and signature and make sure they are approved and signed on time. Collect and analyze information from the Foundation’s departments to support the Director’s decisions. Maintain business records and documents and ensure confidentiality. Help improve administrative processes and introduce tools that make the Director’s work more efficient. Skills, Knowledge and Expertise Education: Bachelor’s degree or above; additional training in project management, business administration or business process management Experience: 3+ years as a Business Assistant, Executive Assistant or in a similar role; hands-on experience supporting senior management; experience in international companies, foundations or non-profit organizations Knowledge and skills: Google Workspace (Docs, Sheets, Slides, Calendar, Drive) and Microsoft Office Business correspondence and preparation of documents, presentations and reports Schedule management, prioritization and deadline control Organizing meetings, taking minutes and recording decisions Digital communication and task management tools AI tools (Claude, ChatGPT and similar) Spreadsheets for reporting and data processing Languages: Russian and English (B2 or higher) Key Competencies Organization and time management Proactivity and independence: anticipates the Director’s needs without constant supervision Responsibility and meeting deadlines Communication and diplomacy Attention to detail Flexibility and ability to handle changing priorities Ability to work under pressure and multitask Confidentiality and professional ethics

Location: New York City, NY; San Francisco, CA; 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 As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You'll be the senior data science leader for Model Experience and a strategic thought partner to product, engineering, and research leaders. Working where frontier AI research reaches the public, you'll help shape model roadmap and launch decisions, bringing a point of view on how users experience our models and what good looks like beyond benchmark scores. As a tech lead manager, you'll also hire and manage a team of data scientists, setting their agenda, personally leading the highest-stakes analyses, and raising the bar for how data shapes model and product decisions. Responsibilities: Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product or research area at significant scale Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company's mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management Experience building or scaling a data science team in a fast-growing organization Experience working closely with Product or Research teams, especially on LLM or AI products Comfort working with unstructured data 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 — $460,000 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: New York City, NY; 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 As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Core Apps product team and a strategic thought partner to its product leads. You’ll help set product direction for Claude Code and other new bets across Core Apps: bringing a point of view on where to invest, how to grow our Apps business, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions. Responsibilities: Act as a strategic thought partner to Core Apps product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Core Apps, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing the business, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Core Apps measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters Set the standard for experimentation and causal inference across Core Apps, and personally lead the highest-stakes analyses Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Core Apps needs to support rapid iteration and decision-making as our products grow You may be a good fit if you have: Have extensive experience in data science, including leading analytics for a product area at significant scale Have 3+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem 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: $460,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI has the power to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. Alongside the models and tools we build for scientists, Anthropic’s life science research teams now run their own wet lab experiments. We’re hiring a life sciences patent counsel to work side-by-side with our researchers as they work to advance biomedical progress. You will manage patent strategy and filings for our life sciences research, from the first conversation with a scientist through global prosecution. You will also be our in-house expert on the patent questions, many of them new, that arise when scientists use AI as a research tool. You will partner closely with our patents lead (direct manager), the Head of IP, Research Legal, our Life Sciences Counsel, and outside counsel to design and implement a patent program that supports our researchers and partners and is aligned with the company’s mission. Responsibilities Manage patent strategy and filings for Anthropic’s life sciences research in the U.S. and internationally, including invention harvesting, filing decisions, drafting oversight, prosecution, and management of outside counsel Serve as the trusted patent advisor to our life science research teams, and design and implement scalable guidance and processes to support our fast-growing life science efforts Make inventorship determinations for AI-assisted research, and advise on inventor declarations and the duty of candor Develop claim and filing strategies across biological and chemical inventions, platform technologies, and computational methods, accounting for written description, enablement, eligibility, and obviousness Partner with Research Legal and Communications on the timing of publications, preprints, presentations, and open-source releases Advise on the patent aspects of agreements with life science and biopharma counterparties, including ownership of inventions and improvements, and support patent diligence and freedom-to-operate analyses for our research Anticipate emerging legal developments affecting AI technologies in the life science and biopharma space and provide strategic guidance to leadership Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based A degree or equivalent training in a life sciences or chemistry field (for example, molecular biology, biochemistry, genetics, bioengineering, or organic chemistry) Substantial hands-on experience drafting and prosecuting U.S. life sciences patent applications, and directing foreign prosecution through local counsel Lead responsibility for a patent portfolio, including managing budget and outside or foreign counsel Experience making inventorship determinations and resolving ownership questions in multi-party research arrangements (for example, with universities and other partners) Excellent communication skills, with the ability to translate legal risk into practical guidance for scientists, researchers, and business partners A low-ego, high-empathy orientation and a “doer” attitude: willing to roll up your sleeves and pitch in where needed Intense curiosity about AI and science, and a commitment to responsible AI development Preferred qualifications 10+ years of patent experience (including time as a patent agent, technical specialist, or examiner) at a law firm, a biotech or pharmaceutical company, or both, with the ability to operate independently and hit the ground running Advanced degree in a life sciences or chemistry field Experience with AI/ML companies, or with inventions at the boundary of biology and machine learning Working knowledge of how patents interact with regulatory exclusivity, trade secrets, and open science Familiarity with biosecurity, dual-use research, or export control considerations in the life sciences Experience leveraging AI to optimize their work, with a desire to work in a fast-paced, innovative environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We’re looking for a Solutions Marketing Manager to bring Claude to market across emerging industries and newer customer segments and personas, where enterprise AI demand is moving fastest. You’ll drive the strategic positioning and go-to-market approach for Claude for organizations ranging from small businesses to ecommerce to retailers, manufacturers, and energy companies, and more. You’ll develop messaging and positioning for nuanced sub-sectors that we have yet to build for and that need their own story, and also develop narratives for the professionals who do the work inside them. Working at the intersection of sales, product, and marketing, you'll develop segment-specific solutions that showcase Claude's transformative potential for industry-specific applications across our product portfolio. You bring deep customer empathy, technical acumen, and the ability to translate complex AI capabilities into clear, value-driven solutions that resonate with decision-makers across organizations. This role is built for a versatile product marketer who can go deep and pivot quickly from one industry to the next for a major launch, program, or industry moment. If you’re energized by range, learn new markets fast, and want to shape how entire industries adopt AI, this role is for you. Key responsibilities Develop and execute solutions marketing strategy across a number of different priority industries and customer segments Craft differentiated positioning and messaging for industries and their sub-sectors across solutions pages, campaign materials, and content Lead go-to-market for industry product and solution launches, including sector-specific product offerings and relevant MCP integrations and skills Partner with field marketing and sales leaders to build industry points of view, use cases, and programs around major launches and flagship industry events Build persona-based solutions that speak to specific types of users across industries, such as finance, legal, customer support, and operations teams Adapt industry and persona narratives for different customer segments, including Enterprise, Commercial, SMB, and Startups Partner with the alliances team on joint go-to-market with industry partners, including shared positioning, launch coordination, and integrated campaign moments Work with communications, social, and content teams on executive thought leadership, customer stories, and speaking opportunities relevant to each industry Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for priority industry accounts Report on which channels and campaigns are driving results and identify opportunities for iteration Minimum qualifications Direct experience marketing software products across multiple industries or customer segments in tandem, and know how to find what’s distinct in each and what can scale across them Familiar with developing solutions that span both technical and business buyers, working closely with enterprise architecture teams or transformation offices Track record of building solutions that significantly expand deal sizes and accelerate sales cycles Quick learner who can absorb context on new industries, buyer dynamics, and regulatory considerations rapidly, and speak credibly with the customers and partners in them Strategic and tactical operator, comfortable setting an industry strategy with senior leaders and rolling up your sleeves to ship Strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for technical and business audiences Thrive in a 0-to-1 environment, can shift priorities quickly, and can build processes where none exist Excel at cross-functional collaboration and are comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams Passionate about AI’s potential to transform how industries work while maintaining focus on responsible, safe deployment Preferred qualifications 8+ years of B2B product marketing or solutions marketing experience working inside of software companies Demonstrated success in creating vertical-specific solutions for operationally intensive or regulated industries Possess certifications or deep knowledge in cloud platforms, enterprise architecture - experience with usage-based or consumption pricing models strongly preferred Experience marketing AI/ML products or emerging technology to enterprise buyers Track record of building marketing programs from scratch at a growth-stage company Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Boston, MA; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Sales Manager for Life Sciences at Anthropic, you’ll lead the foundational team introducing our frontier AI platform to the pharma and biotech ecosystem, spanning large pharma, mid-size and emerging biotech, and the organizations that support drug development. You’ll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with pharmaceutical and biotech companies. You’ll bring deep domain fluency in how drugs are discovered, developed, approved, and launched to coach your team’s consultative sales approach, while becoming a trusted advisor yourself to senior pharma and biotech stakeholders, helping them embed and deploy AI across the drug lifecycle from target discovery through commercialization. In collaboration with Product and Marketing, you’ll continuously refine the team’s value proposition, sales methodology, and market positioning to resonate with decision-makers across large pharma and biotech. The ideal candidate has a passion for developing new market segments within pharma and biotech, pinpointing high-potential opportunities across discovery, preclinical, clinical, regulatory, manufacturing, and commercial functions, and building a team that can execute strategies to capture them. By driving deployment of Anthropic’s emerging products across pharma and biotech organizations, you’ll help them accelerate the path from science to patients while advancing the ethical development of AI. Key responsibilities Build and lead a specialized team of Strategic Account Executives covering large pharma and biotech accounts, setting growth targets by segment and coaching reps through the full sales cycle from outbound to close Design and oversee sales strategies tailored to the distinct procurement cycles of pharma and biotech, including R&D and discovery budgets, clinical development and operations, regulatory and CMC investment, commercial budgeting, and enterprise IT and digital transformation programs, translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets Identify and prioritize high-potential opportunities across target identification and drug discovery, preclinical development, clinical trial design and operations, regulatory affairs and submissions, medical affairs, manufacturing and quality (GxP), pharmacovigilance and drug safety, and commercial functions, partnering cross-functionally to differentiate Anthropic’s offering for pharma and biotech use cases Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota Serve as Anthropic’s domain expert across the pharma and biotech value chain, including discovery research, IND-enabling studies, clinical trial operations, NDA/BLA regulatory submissions, tech transfer and manufacturing, post-market safety, and commercial launch, and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale Partner directly with C-suite and senior R&D leaders (CEOs, CIOs, CDOs, CSOs, CMOs, Heads of R&D, Heads of Clinical Development, Heads of Regulatory, CCOs) across pharma and biotech organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships Partner closely with Product and Applied AI to translate feedback from discovery scientists, clinical operations teams, regulatory and quality leaders, and commercial teams into product and roadmap input, strengthening Anthropic’s value proposition across the segment Build strategic relationships with life sciences-focused system integrators, technology vendors, CROs, CDMOs, and industry organizations to scale go-to-market capabilities Establish Anthropic’s position as the AI partner of choice across pharma and biotech through conference presentations, white papers, case studies, and participation in industry forums Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across pharma and biotech accounts Minimum qualifications 10+ years of experience in life sciences, with at least 5 years specifically selling into or working within pharma or biotech organizations (R&D, clinical, regulatory, manufacturing, or commercial functions, or related consulting) Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in pharma, biotech, or adjacent life sciences settings Deep understanding of business models, operations, and economics across pharma and/or biotech, including the drug development lifecycle, the regulatory environment (FDA, EMA, GxP, 21 CFR Part 11), and competitive dynamics A track record of managing or overseeing complex, multi-stakeholder sales cycles within pharma or biotech organizations, securing strategic deals by understanding both technical requirements and scientific, regulatory, and commercial use cases Proven experience exceeding revenue targets by effectively managing a team’s pipeline and an evolving sales process Excellent communication skills, with the ability to present confidently across pharma and biotech audiences, from discovery scientists and clinical leaders to C-suite executives A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications Deep understanding of buying cycles, decision-making processes, and key pain points across both large pharma and biotech, and across multiple functions (R&D, clinical, regulatory, manufacturing, commercial) A strategic, analytical approach to assessing the pharma and biotech market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning drug discovery, clinical development, regulatory and quality, pharmacovigilance, manufacturing, or commercial functions Experience building or scaling a specialized sales team from an early stage Passion for and/or experience with advanced AI systems and their applications in drug discovery and development, with strong conviction around safe, ethical development of AI in these contexts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $450,000 — $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the leader of our Enterprise Asset & Wealth Management sales organization, you will build and lead a team that brings transformational AI to the world's leading asset managers, wealth managers, and private markets firms. These are organizations rethinking how they generate investment insight, serve clients and advisors, scale personalization, and meet fiduciary and regulatory obligations. They are looking for a partner they trust to take frontier AI from promising pilots into production at the core of their business. You will own a broad portfolio of major AWM institutions at very different stages of AI adoption, from firms already running Claude in production to those just beginning their journey. Your coverage will span global and regional asset managers, alternatives managers, and wealth businesses. You will lead Account Executives, design the coverage and territory model, and build the repeatable, AWM-specific plays that turn early wins into durable, scaled adoption across research, portfolio and client operations, advisor productivity, and compliance and supervision. The selling is technical and multi-stakeholder: platform decisions, model governance, security and procurement rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. You will shape strategy and operating rhythm while staying personally engaged with executives on the pursuits that matter most. This is a rare opportunity to build an organization, not just run a number: to shape how the asset and wealth management industry adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell. Key responsibilities Define AWM go-to-market strategy and coverage design, including segmentation across asset managers, alternatives managers, and wealth platforms, territories, account prioritization, and vertical value propositions, and evolve the coverage model as the business scales Recruit, coach, and retain Enterprise Account Executives with deep asset and wealth management and platform-selling expertise; develop leadership talent and create career paths that keep top performers growing Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable across AWM, such as investment research and idea generation, portfolio and client reporting, RFP and due diligence automation, advisor productivity and client personalization, and compliance and supervision workflows, partnering with Marketing, Enablement, and partner teams to scale them Engage personally with C-level and business-line executives (CEOs, CIOs, COOs, Chief Data and AI Officers, Heads of Distribution, and Heads of Wealth) on priority pursuits, building business cases and value narratives and navigating complex procurement, security, model-risk, and legal processes through to production deployment and expansion Own the organization's revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate AWM needs, including fiduciary, books-and-records, and client-data requirements, into product and roadmap input Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, cloud partners, and the data and technology providers that AWM firms rely on, to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms A track record of winning and growing enterprise customers, including building C-suite relationships, in asset and wealth management (asset managers, alternatives managers, private banks, wealth platforms, or the technology and data providers that serve them) Experience designing go-to-market coverage for an enterprise sales team, including segmentation, territories, and account prioritization Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders, and with investment and distribution leaders: CIOs, CTOs, CDOs, Heads of AI/ML, Heads of Research, and Heads of Wealth or Distribution, plus experience pairing effectively with solutions architects and applied AI teams Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Experience leading other sales leaders (second-line management), or demonstrated readiness to step into that scope Experience building or meaningfully scaling a verticalized or multi-segment sales organization Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers, wealth managers, or private markets firms Familiarity with AWM use cases and buyers, such as investment research and portfolio analytics, client reporting and RFP automation, advisor and relationship-manager productivity, and fund operations and servicing Deep familiarity with regulated-industry selling in AWM, including fiduciary and suitability obligations, SEC and FINRA expectations on supervision and books and records, model-risk management, client-data privacy, security review, and the governance expectations of financial institutions Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators, as well as the data, analytics, and portfolio-technology vendors embedded in AWM firms Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience leading organizations through rapid growth, re-segmentation, or significant change The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $450,000 — $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job The Senior Product Designer plays a pivotal role in shaping complex, system-level design solutions that elevate user experiences across Flo’s app. Working within the User Centric stream on a 0→1 product initiative, this role combines deep expertise in interaction design, systemic thinking, and visual craft with the ability to architect scalable frameworks and influence product direction. A key focus is the Virtual Clinic - an initiative aimed at closing the loop of care in female health by connecting tracking, insights, consultations, and follow-ups into one seamless experience within Flo. As a senior individual contributor, the Senior Product Designer tackles the most challenging design problems, sets the quality bar for the team, and ensures designs are accessible, inclusive, and emotionally resonant. They collaborate across product, engineering, research, and content disciplines, raising craft excellence and contributing significantly to Flo’s overarching design vision. Your Experience Must have: 7+ years of professional experience designing mobile applications. Portfolio demonstrating systemic design, advanced interaction design, motion and micro-interaction expertise, and measurable product impact. Experience creating scalable frameworks, contribution to design systems, and interaction models. Proficiency in Figma and advanced prototyping tools (e.g., Protopie). Strong communication and presentation skills; ability to distill complex ideas into clear narratives and influence stakeholders. Deeply collaborative, with experience mentoring and raising the craft bar for design teams. Commitment to accessibility, inclusion, and ethical design practices Nice to have: Experience in AI/LLM-powered design exploration. Experience working in health tech or regulated industries What you'll be doing You'll be responsible for: Lead complex design projects (0 → 1), creating scalable frameworks and systems that support growth and innovation. Translate ambiguous product and data challenges into clear, compelling, user-centred experiences. Design features, e2e flows, and experiments that align with user needs and business goals (e.g., engagement, retention, etc.). Produce prototypes and high-fidelity mock-ups using Figma or other prototyping tools. Collaborate closely with product managers, engineers, researchers, and content designers to deliver cohesive solutions. Mentor and support other designers through feedback, craft guidance, and knowledge sharing. Advocate for emotionally intelligent, ethical design and ensure accessibility standards are upheld at every stage. You'll be measured on Deliver complex design initiatives that significantly improve user engagement, retention, and user satisfaction outcomes. Raise team capability and craft standards by mentoring peers and contributing to a culture of design excellence. #LI-AJ1 #LI-Hybrid Annual Salary Range (ranges may vary based on skills and experience) £85,000 — £115,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .