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Hi, we're Oscar. We're hiring a VP, Provider Integration & Experience to join our Provider Operations & Experience Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Vice President of Provider Integration and Experience is responsible for driving the overall provider experience strategy, designing operational solutions, and leading the enterprise operating model for escalated provider issue resolution. This position owns the provider journey, developing and executing cross-functional roadmaps to proactively reduce friction while overseeing a world-class, multi-disciplinary escalation management organization. Reporting directly to executive leadership, this role serves as the principal advocate for providers serving Oscar members. By partnering closely with senior leaders across Claims, Network, Utilization Management, Payment Integrity, Contact Center, Clinical Services and Technology, the Vice President will translate data-driven insights into systemic, root-cause remediations that maximize network satisfaction and deliver high-impact enterprise ROI. You will report into the SVP, Provider Operations & Experience. Work Location: This position is based in our New York office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $240,120 - $315,158 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: Act as the primary internal and external voice and champion for the provider experience. Shape the overarching Oscar Provider Experience strategy, creating a long-term vision to be an easy and dependable partner to providers.  Develop deep, analytical frameworks and measures to assess the health of the provider experience and evaluate its overall impact on Oscar's broader network. Maintain deep healthcare market and competitor intelligence, keeping a pulse on regulatory changes, vendor innovations, and emerging operational models. Build and scale the operating model for escalated provider issues, establishing standardized intake criteria, triage pathways, and closure expectations.  Oversee the swift resolution of urgent, high-complexity, or high-profile provider escalations that span multiple cross-functional departments. Foster strong strategic relationships with Subject Matter Experts (SMEs) and senior functional leaders across Claims, Network, Utilization Management, Payment Integrity, and Technology to streamline operational handoffs and secure resources for systemic fixes. Drive organizational change management, ensuring successful cross-functional adoption of new operational models, workflow metrics, and provider-centric behaviors. Leverage robust operational data, analytics, and ROI assessments to identify systemic root causes of provider friction and prioritize technical or operational resolutions. Establish tracking mechanisms to guarantee that once a root cause is identified, systemic fixes are fully implemented and verified across strategic accounts.  Create and deliver executive-ready reporting, interactive dashboards, and strategic recommendations to senior leadership and board members regarding operational health, system trends, and critical blockers. Empower and mentor a senior-level team, aligning their personal growth with the delivery of high-impact organizational outcomes.  Compliance with all applicable laws and regulations  Other duties as assigned Requirements: A bachelor's degree or commensurate 4 years of experience 15+ years of professional experience in healthcare operations, payer operations, network operations, strategic planning, healthcare consulting, or provider relations 7+ years of experience collaborating, influencing, and driving strategic alignment at the executive level (SVP, EVP, and C-Suite). 7+ years of direct senior leadership experience, specifically managing multi-team functions, managers, and directors. Deep technical understanding of payer operations, including claims administration, provider data, reimbursement methodologies, utilization management, payment integrity, and provider relations workflows.  Demonstrated experience building operational models, SLA frameworks, and governance structures in ambiguous environments. Bonus points: Master's degree from a top-tier program in Business Administration (MBA), Health Administration (MHA), Public Health (MPH), or a closely related field.  Proven success standing up, scaling, or transforming a large-scale provider relations, escalation management, or customer service governance function.  Extensive experience managing complex partnerships with major national health systems or high-profile clinical provider networks. Proficiency with advanced enterprise workflow tools (e.g., Jira, Salesforce, ServiceNow) and reporting/data environments (e.g., SQL, Tableau). This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

Hi, we're Oscar. We're hiring a Senior Specialist to join our Network Recruitment team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Specialist, Network Recruitment role plays a crucial role in maintaining network adequacy and fostering growth through administration of new provider contracting lifecycle. This involves supporting the development and implementation of market strategies through diligent and thorough management of Oscar's in-flight provider contracts data. The Senior Specialist, Network Recruiting role specialist ensures seamless operations and cultivates strong relationships via collaboration with internal departments and external providers to guarantee the accuracy and completeness of new provider contracts. You will report into the Manager, Network Recruitment.  Work Location: This is a remote position, open to candidates who reside in: Alabama, Arizona, Florida, Georgia, Illinois, Iowa, Kansas, Michigan, Mississippi, Missouri, Nebraska, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, or Virginia. Your daily work will involve a blend of work from your home office and frequent local travel for client meetings. Occasional travel may be required for team meetings and company events. Pay Transparency: The base pay for this role is: $67,813 - 89,004 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: Utilize demographic data for current out-of-network providers to create recruitment lists, targeting network adequacy based on geography, specialty, or member demographics. Support the preparation, review, and execution of provider contracts and Letters of Agreement. Collaborate with the Provider Recruitment team to address provider inquiries, concerns, and data-related contracting inquires Oversees the "Request to Join" process and the "Join Our Network" mailbox to identify new provider contracts promptly and assign them efficiently. Generate reports and summaries concerning provider contract data updates and network status, incorporating changes from various sources (mail, fax, electronic, etc.). Coordinate with different departments to collect provider contract data for setting up providers in enterprise data systems, including system configuration, provider directory, and credentialing processes. Maintain and verify provider contracting data in the network database and assist other departments with ongoing contract updates. Provide support for special projects to ensure the completeness and accuracy of the provider contracting database. Offer administrative assistance, including screening and researching incoming provider requests from multiple communication platforms. Participate in process improvement initiatives to streamline workflows and improve the provider experience . Compliance with all applicable laws and regulations Other duties as assigned Requirements: Associate's degree or 2+ years of relevant experience Minimum 2+ years of experience in healthcare contract coordination, provider relations, or a similar role within a managed care environment. 1+ years of experience in Microsoft Office or Google Suites, with strong knowledge of Excel/Sheets. 1+ years of experience prioritizing and managing cross-functional projects Bonus points: 1+ years experience supporting provider contracting efforts in a health insurance environment Process improvement principles Familiarity with provider directories or provider network data This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

Hi, we're Oscar. We're hiring a Senior Manager, Actuarial to join our Actuarial team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Manager, Actuarial leads a team of analysts, is responsible for pricing of several ACA markets, and has team authority and subject matter expertise in a particular business area. You will be a critical partner to Market P&L, Insurance Product, and other analytic support responsibilities for consultation of regional specific pricing, network and product strategy. You will support development of national strategy. You will also own the end-to-end regulatory submission, will understand risks underlying their markets, and are responsible to ensure pricing is actuarially sound. You will report into the Director, Actuarial. Work Location: This position is fully remote and open to candidates residing in the U.S., excluding Alaska; Delaware; Hawaii; Louisiana; Montana; North Dakota; Oklahoma; West Virginia; Wyoming; and U.S. Territories. Daily work is completed from your home office, with occasional travel required for team meetings and company events. #LI-Remote Pay Transparency: The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $163,944 - $215,177 per year. The base pay for this role in all other locations is: $147,550 - $193,659 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: Lead team initiatives to enhance pricing models and methodologies. Oversee the end-to-end rate development within a specific region for Oscar's ACA markets. Influence and collaborate with key stakeholders to guide strategic business decisions with respect to rates. Have an in-depth understanding of key financial risks and opportunities within each of your markets and more broadly across ACA -- and apply those learnings to guide analytical pricing, prospective pricing strategy, SAE considerations, network strategy, and other unique mitigation strategies. Provide an actuarial viewpoint across cross-functional teams to ensure sustainable growth for Oscar's ACA Individual Markets. Mentor, coach, and provide pricing analysts with regular feedback. Promote and shape Oscar actuarial best practices with respect to automation and documentation. Maintain strong relationships, rapport, and lines of communication with both internal and external stakeholders. Compliance with all applicable laws and regulations Other duties as assigned Requirements: College degree in a STEM field. Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one. 7+ years of quantitative analysis experience. Bonus points: Excellent communication, collaboration, and relationship-building skills. Strong understanding of health insurance concepts and nuances. This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

Hi, we're Oscar. We're hiring a Physician Reviewer to join our Utilization Management team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: You will determine the medical appropriateness of inpatient, outpatient, and pharmacy services by reviewing clinical information and applying evidence-based guidelines. Hours: 8am - 5pm in your local time zone Call rotation - 1 weekend every 16 weeks You will report into the Associate Medical Director, Utilization Management. Work Location: This is a remote position, open to candidates who reside in the United States. While your daily work will be completed from your home office, occasional travel may be required for team meetings and company events. #LI-Remote Pay Transparency: The base pay for this role is: $219,000- $ 286,902 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation, and annual performance bonuses. Responsibilities: Provide medical reviews that meet Oscar's stringent quality parameters. Provide clinical determinations based on evidence-based criteria and Oscar internal guidelines and policies, while utilizing clinical acumen. Clearly and accurately document all communication and decision-making in Oscar workflow tools, ensuring a member could easily reference and understand your decision (Flesch-Kincaid grade level). Use correct templates for documenting decisions during case review. Meet the appropriate turn-around times for clinical reviews. Receive and review escalated reviews. Conduct timely peer-to-peer discussions with treating providers to clarify clinical information and to explain review outcome decisions, including feedback on alternate treatment based on medical necessity criteria and evidence-based research. Compliance with all applicable laws and regulations Other duties as assigned Requirements: Board certification as an MD or DO Licensed in one of these states: FL, NC, AZ OR possess an active Interstate Medical Licensure Compact (IMLC). 6+ years of clinical practice Bonus points: Licensure in multiple Oscar states 1+ years of utilization review experience in a managed care plan (health care industry) BC in Cardiology, Radiation/Oncology, or Neurology Experience with care management within the health insurance industry. Willing and able to obtain additional state licensure as needed, with Oscar's support This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

Hi, we're Oscar. We're hiring a Director, Analytics Engineering to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Director of Analytics Engineering leads the Analytics Engineering function for Oscar Health and sets the enterprise strategy for trusted, governed, reusable data that is well documented, high quality, and ready to support analytics and AI applications. This leader drives enterprise wide transformation of data practices, platforms, and operating models to improve the speed, reliability, and adoption of self service analytics and responsible AI use. You will report into the VP, Data. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $198,720 - $260,820 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Own delivery of the analytics engineering operating plan through a multi-team organization, setting the strategy and operating model that make trusted, reusable data easier to build and use. Build and govern the enterprise data transformation layer that enables trusted analytics and AI, with clear ownership, definitions, quality, lineage, and secure access. Establish the engineering standards and operating practices that keep enterprise data products consistent, reliable, observable, and supported by clear production-quality and incident-response practices. Build and lead high-performing teams, including managers and senior ICs; set priorities, accountability, organization design, and growth paths. Partner with business and technology leaders to align operating-plan priorities, investments, and delivery across the enterprise. Expand self-service analytics by improving the tools, guidance, and support that help people use data confidently. Measure and improve data trust, delivery speed, self-service adoption, reliability, and cost efficiency. Represent the function in operating-plan and quarterly business reviews, communicating progress, risks, investment needs, and outcomes to executive stakeholders. Compliance with all applicable laws and regulations  Other duties as assigned    Requirements: 10+ years of progressive experience in analytics engineering, data engineering, or related technical roles. 5+ years leading multi-team data, analytics, or engineering organizations and developing managers and senior technical talent. Demonstrated success leading complex, cross-functional data or technology transformations across multiple teams or at enterprise scale. Deep experience with SQL, dimensional modeling, data modeling, cloud data platforms, and modern transformation, semantic modeling, and data observability tools. Experience with dbt, Looker, Google Cloud Platform, or comparable technologies. Experience enabling analytics, machine learning, or generative AI with governed, reusable data products. Experience with data governance, quality, metadata, lineage, access, data-product ownership, and lifecycle practices. Ability to influence executive and non technical stakeholders through clear strategy, communication, and measurable outcomes. Bonus points: Experience in healthcare, insurance, or another regulated environment. This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

About Flexport:  At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.  The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity: The Sales team at Flexport is dedicated to fostering strong, lasting relationships with our existing clients, ensuring their success and maximizing the value they derive from our platform. As an Account Executive I (Farmer), you play a critical role in driving client success at Flexport — deepening your expertise on our platform, our clients, and the fundamentals of global trade. You will manage a portfolio of accounts where you develop the core skills every great Account Executive I (Farmer) needs: building relationships, running business reviews, and spotting early growth signals. You'll work with clear playbooks and close support from senior teammates as you build the instincts and product knowledge to grow into even more complex client work.    You will: - Manage a portfolio of Flexport clients, developing trusted relationships and driving strong satisfaction and retention through consistent, proactive engagement. - Serve as the primary point of contact for day-to-day client communications, running regular business reviews (QBRs/MBRs) with support from structured templates and senior teammates. - Identify and surface early cross-sell and upsell opportunities within your accounts, partnering with senior Account Executives I (Farmer) and Sales to pursue them. - Collaborate with internal teams (Operations, Product, Implementation) to resolve client issues and deliver consistent service quality. - Review client performance data to identify trends and potential risks, bringing data-informed insights to your regular client conversations. - Build foundational knowledge of Flexport's product suite and global trade operations to credibly advise clients on core logistics challenges. - Work closely with Hunters from the beginning of the customer journey to ensure a seamless transition and long-term client success.   You should have: - 1+ years of experience in account management, direct sales, client success, operations, or a similar client-facing role; logistics, supply chain, or SaaS background a plus. - A demonstrated ability to build rapport and trust with clients, with a track record of strong satisfaction or relationship outcomes. - Strong communication and listening skills, you ask good questions and follow through on commitments. - Curiosity about how accounts grow and what drives client value; you're developing commercial instincts, not just executing tasks. - Comfort working within defined processes and seeking guidance when situations are new or ambiguous. - A 'compliance first' attitude to keep our regulators happy and enthusiastic about Flexport since we operate in a heavily regulated industry.   You will get: - Structured onboarding and mentorship from experienced Account Executives who invest in your development. - A clear growth path: Account Executive I (Farmer) is just the start of a career track with increasing scope, complexity, and earning potential. - Hands-on experience with a global platform moving $19B+ of merchandise across 112 countries. - A collaborative team environment where asking questions and learning from mistakes is encouraged. The range displayed on each job posting reflects the minimum and maximum target for new hire base salary for the position in the posting's respective region. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off. The US base salary range for this position (this does not include bonus, equity and benefits): $55,680 — $69,600 USD Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at  www.flexport.com/privacy  for additional information.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Staff+ Software Engineer to work on the vector search infrastructure behind Claude. Retrieval is how Claude learns about the world. Web search across claude.ai, the API and agentic surfaces, memory across conversations, and the reinforcement learning workloads that train our next models all depend on fast, cheap, high-recall nearest-neighbor search over billions of vectors. You'll join a small team responsible for the vector database layer that serves Claude's retrieval workloads: its architecture, performance, scalability and cost. This is a foundational role. The team is small, core architectural decisions are still open, and the engineers who join now will shape how the system evolves. The role sits in our Databases organization and works day to day with the Search Platform team, which owns web search indexing, retrieval and serving, and the Memory & Search team, which owns search and memory inside claude.ai.  We're looking for someone who has built vector or search systems that ran in production, at scale, with real users and a real on-call. You'll be hands-on in the code, and you'll also be the person deciding how the pieces fit together. Key responsibilities Own the core of Anthropic's vector database layer: index structures, storage layout, query execution and the serving layer Own production readiness - benchmarking against exact search, capacity planning, onboarding new workloads, and the operational tooling to run it at scale Drive the recall, latency and cost trade-offs - quantization, filtered search, index build and refresh strategy, and how compute and storage are separated and scaled Scale throughput by an order of magnitude as research and training demand grows, and work out whether the bottleneck is architecture, hardware or engineering bandwidth Extend the retrieval stack toward hybrid retrieval - lexical search and fused ranking alongside vector search Set the evaluation methodology for the system -  recall targets, latency objectives, cost per query, and the regression detection that keeps them honest Set technical direction for a growing team - lead design reviews, make architectural decisions others build on, and mentor the engineers joining the effort Share the on-call for the systems you own Minimum qualifications Direct experience building a vector database or approximate nearest-neighbor search system that ran in production at scale Deep knowledge of ANN index structures (graph-based, clustering-based or disk-resident approaches), vector quantization and filtered search Experience with search relevance and ranking Strong systems programming skills in a language such as Rust, C++ or Go, including performance-critical and memory-intensive code Experience designing and operating large-scale distributed storage or serving systems with strict latency and reliability requirements A track record of independently scoping and delivering ambiguous, multi-quarter technical projects Strong written and verbal communication, with experience driving alignment across teams with different priorities Interest in AI safety and Anthropic's mission Preferred qualifications Experience with object-storage-backed or disaggregated compute and storage database designs Experience building or operating full-text search engines (inverted indexes, BM25) or hybrid retrieval systems Familiarity with embedding models and the retrieval demands of LLM training and inference Experience using GPUs or other accelerators for index build or search Prior experience as a technical lead on a database or search infrastructure team The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Platform Safety builds the infrastructure that lets Anthropic bring its most capable models to more people, safely and securely. Our systems decide both who can access our most advanced models, and what capabilities they can access, wherever Claude is available. That includes identity and business verification, trusted access programs, and the core services that grant, hold and enforce model access across our products. These systems already power the Cyber Verification Program, which now includes Project Glasswing, and the Life Sciences Verification Program with further more advanced use cases in development. As a Staff+ engineer, you'll help set the technical direction for this work. The foundations are live and adoption is growing quickly, so the next challenge is scale: making access a matter of configuration instead of code, making verification reusable, and giving customers a consistent experience on every surface. You'll work closely with safeguards, product, design and research to turn safety policy into systems that are easy to use and enforce. You'll also take new 0 → 1 efforts from idea to delivery as new capabilities and programs emerge. What you'll do You'll design, build and operate the systems that decide who gets access to our most capable models. You'll build the platform that lets teams across Anthropic launch and run trusted access programs, moving access rules out of code and into data so that launching a new model or complex program is simple and scalable. You'll build out our identity and business verification system (KYC/KYB) as a reusable service that any program can use, which means integrating verification vendors, protecting sensitive personal data, expanding into new regions, and building fair review and appeal paths for customers. You'll also evolve the core services behind every access decision, including the services that grant and hold access and the customer and user identity models they rely on, and keep them highly available and consistent across our own products and cloud platforms. You'll shape the architecture through clear written proposals, review key designs, and mentor engineers on a growing team. You'll also share on-call, lead incident response, and support emerging new programs. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer, ideally at tech lead level or equivalent, and are comfortable working across the stack when the problem calls for it Have strong product sense, and work closely with cross-functional partners, including non-engineers, to shape and execute strategy in new domains Use AI tools as a regular part of how you design, build and review software Have designed and operated production distributed systems on a critical path, where correctness, latency and availability all matter Take full ownership of your work, from design through build, deployment, operations and iteration Navigate ambiguity and make sound technical decisions independently, have set technical direction that other engineers and teams adopted, and have ideally operated in both 0 → 1 and more mature settings Care about building robust, scalable systems that other engineers and businesses love to use Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: Identity, access control or authorization systems at scale Fraud, risk, trust and safety, or KYC/KYB systems, including working with verification vendors Regulated or compliance-sensitive environments, including handling sensitive personal data Integrating with cloud platforms or partner ecosystems such as AWS, Google Cloud and Azure Deadline to apply:  None. Applications will be reviewed on a rolling basis.  Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.  The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities Build, lead, and scale a team of BDRs focused on the Enterprise segment Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization A track record of building teams that prospect successfully into complex enterprise organizations Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals Clear written and verbal communication, including the ability to engage executive-level stakeholders An understanding of Anthropic's products, ecosystem, and hands on building experience with LLMs Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Personal closing experience as an Account Executive, Account Manager, ideally in a management role Experience managing teams that prospect into Fortune 500 or Global 2000 accounts A track record of developing BDRs who move successfully into enterprise Account Executive roles Experience building enterprise prospecting playbooks where none existed Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot Experience in API-first, consumption-based, or platform business models Background in AI or machine learning, cloud infrastructure, or developer platforms Familiarity with enterprise procurement, security review, and legal processes The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $350,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first.  As Manager, Cybersecurity Sales Specialists, you'll build and lead the team of cybersecurity specialists who sell to security teams across our Americas business units, including financial services, healthcare and life sciences, and technology. Your team partners with the Account Executives in each industry to lead the security strategy and the security deal with CISOs. You'll help shape how Anthropic sells security: how your team covers the business units, how it works with the Account Executive and Applied AI organizations, and how what we learn from customers shapes what we build. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well, and this team is how we get it into their hands. Responsibilities Hire, onboard and develop a high-performing team of cybersecurity sales specialists Own your team's forecast, pipeline health and results across the business units you cover Set your team's coverage model, and agree on clear rules of engagement with the sales leaders who own each industry and with Applied AI leadership on discovery, proofs of concept and architecture Build a pipeline engine with the Account Executives, across their existing accounts and through outbound to security leaders, events and partners Coach your team through complex deals that lead with the customer's problem (finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely), and act as executive sponsor with CISOs on the most important ones Make security reviews, verification for security use cases, and procurement a repeatable path rather than a deal-by-deal effort Scale enablement so Account Executives across every business unit can spot and qualify security opportunities Bring what your team hears from security customers to sales leadership and to our product, safeguards and marketing teams, and turn it into input on the roadmap Run a healthy team: clear expectations, regular feedback, and performance and development conversations Minimum Qualifications Experience building and leading a cybersecurity sales team that carried a number, whether direct, specialist or overlay, including hiring, coaching and managing performance Track record of closing complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver, and of coaching others to do the same Fluency in how security teams work, built by selling directly to CISOs, application security leads and security engineers Depth in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security History of building a business before there was an established approach, through outbound and partners rather than inherited accounts Ability to lead through influence as well as authority, so that Account Executives and their leaders bring your team in because it helps them win Consultative approach to selling and coaching: understanding the problem before proposing anything, and being honest about what a product can't do Commitment to making AI systems safe and beneficial Preferred Qualifications Background selling security in one of the industries we cover, and an understanding of how security is bought and regulated there Experience managing managers and individual contributors, or scaling a sales team through fast growth Experience leading teams selling AI, developer or data platform products to technical buyers Time spent as a security practitioner or sales engineer before moving into sales leadership The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $450,000 — $550,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can't keep up with. Anthropic's Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader. You will build this team from zero. You'll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You'll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You'll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it. What you'll do Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals. Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount. Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer's security review sets the close date. Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence. Work alongside the security ISVs, systems integrators, and managed security providers already in our customers' accounts. Keep a clear line between what Anthropic delivers and what partners deliver. Bring in Applied AI Engineers and our security, legal, and trust teams when a customer's build or review needs them. Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time. Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers. You may be a good fit if you Have 12+ years of industry experience with at least 4 years  managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you. Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment . Application security experience highly preferred.  Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed. Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales. Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about. The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 — $2 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.