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Hi, we're Oscar. We're hiring a Senior Data Scientist, Pharmacy 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 Senior Data Scientist, Pharmacy position supports our pharmacy benefit, developing data pipelines, models, and analytics that improve medication access, member experience, and plan affordability. Working with clinical, business, product, and engineering partners, you will lead projects in formulary optimization, utilization and population need trend analytics, and prior authorization automation. 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: $163,944 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Design and develop clinical AI and ML applications, leading the experimental lifecycle, target development, and operationalization strategy. Apply rigorous data science practices to ensure performance is robustly measured, safety and observability are prioritized, and deployment decisions are grounded in clear clinical and operational success criteria. Apply advanced analytics to evaluate complex financial and health outcome questions, helping partners understand the potential effects of changes to clinical policies, benefit design, and member programs. Develop models and scenario analyses to quantify tradeoffs, test assumptions, and characterize uncertainty, translating findings into actionable recommendations. Validate analytical methods and results to ensure conclusions are robust and appropriate for the decisions they inform. Collaborate closely with data leaders and business teams to enhance overall data processes, and lead execution with your team. Understand their needs and requirements, provide data support, and work together to develop solutions that improve processes and outcomes. Partner with business and technical stakeholders to prioritize opportunities, define success metrics, and guide experiments through evaluation and implementation. Compliance with all applicable laws and regulations. Other duties as assigned. Requirements: A bachelor's degree or 6+ years of industry or educational experience in a technical field. 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 4+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis 4+ years of  experience with statistical modeling and data processing/ETL pipeline building 2+ years of experience working with and presenting to non-technical stakeholders Bonus points: Experience in healthcare, finance or insurance industries, particularly pharmacy benefits or clinical operations. Experience developing and deploying AI/ML applications involving unstructured documents, with rigorous evaluation and production monitoring. Experience using statistical modeling to evaluate utilization trends, program effectiveness, or financial and health outcome tradeoffs, quantifying uncertainty. A master's degree in a quantitative field plus 3 years of relevant experience, or a PhD in a quantitative field. 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 of Product, Provider Data Management to join our Product 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 Network pillar enables Oscar to build, maintain, and operate a high-quality provider network that members can access with confidence. Accurate, timely, and reliable provider data is foundational to that work: it affects how providers are brought into the network, credentialed, contracted, represented in directories, and made ready to serve members and process claims. The Director of Product Management, Provider Data Management, will own the product strategy, roadmap, and delivery across the end-to-end provider-data lifecycle. This includes provider ingestion, reconciliation and data pipeline capabilities; credentialing workflows; the path from contract signature to claim-ready status; provider data maintenance; provider data quality; and the reliable distribution of provider data to downstream systems and experiences. In this role, you will manage and develop a team of Product Managers and partner closely with Engineering, Design, Data Science, Network Management, Network Operations, Provider Servicing, Credentialing, Contracting, and other downstream stakeholders. You will translate complex operational needs into scalable products and data-platform capabilities that make provider data trustworthy, explainable, and easier to manage at scale. You will turn fragmented, business-critical provider-data workflows into a reliable platform that directly improves network readiness, claims outcomes, and member/provider experience. You will report into a Vice President, Product Management. 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: $180,504.00 - $236,911.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.   Responsibilities: Define and communicate a clear multi-year product vision and strategy for Provider Data Management, aligned to Network business priorities and Oscar's broader operating strategy. Own the product portfolio spanning provider ingestion, provider data reconciliation, provider pipeline, credentialing, contract-to-claim-ready workflows, provider-data maintenance, and downstream distribution. Establish measurable outcomes for provider-data accuracy, time from contract signature to claim readiness, incorrect denials for credentialed entities, downstream configuration issues, and operational efficiency. Establish clear data governance, ownership, quality standards, lineage, and controls for provider data across its lifecycle. Lead, coach, and develop a team of Product Managers; establish effective product practices, decision-making forums, and operating rhythms across the portfolio. Serve as a hands-on product leader: develop and empower the Product Management team while personally leading the portfolio's most consequential strategic, technical, and cross-functional decisions. Partner closely with the Director of Network Management and Provider Servicing to translate network strategy, operating policies, frontline needs, and service insights into scalable product capabilities. Partner with Claims and downstream teams to reduce provider-data-related incorrect denials involving credentialed entities. Own product strategy, portfolio prioritization, and delivery decisions for Provider Data Management; partner closely with the Director of Network Management and Provider Servicing on business policies, operational requirements, change readiness, and adoption. Partner with Engineering and Data Science teams to set direction for data models, ingestion and ETL pipelines, entity and relationship logic, data-quality controls, lineage, reconciliation logic, and platform reliability. Drive the modernization and simplification of fragmented workflows, reducing manual intervention, downstream configuration defects, and time required to identify and resolve provider-data issues. Make complex data decisions transparent to operational partners by improving explainability, visibility, and operator control over how provider data is reconciled, maintained, and surfaced. Ensure appropriate self-service capabilities enable business operators to safely manage approved configuration and workflow changes without unnecessary engineering intervention. Build alignment among senior leaders and cross-functional stakeholders; clearly communicate strategy, tradeoffs, risks, progress, and results. Use qualitative insight and quantitative analysis to prioritize investments, evaluate performance, and evolve product strategy. Compliance with all applicable laws and regulations.  Other duties as assigned. Requirements: 10+ years of product management experience, including ownership of complex, multi-team product areas. 5+ years of people-management experience, including coaching, performance management, and development of Product Managers. Experience leading strategy and execution for technically complex products with significant data, platform, systems-integration, or operational-workflow components. Demonstrated ability to define meaningful product and operational metrics, use data to make decisions, and deliver measurable outcomes. Experience partnering effectively with engineering, data, design, operations, and senior business leaders in a highly cross-functional environment. Strong communication and stakeholder-management skills, with the ability to explain technical concepts and tradeoffs to varied audiences. Ability to set direction amid ambiguity, make principled prioritization decisions, and deliver results across interdependent teams. Experience with provider-facing healthcare products or payer-provider operations. Familiarity with provider directory management, credentialing, claims processing and disputes, provider onboarding, and/or provider servicing. Bonus points: Experience with provider-facing healthcare products or payer-provider operations. Experience with provider directory management, credentialing, contracting, claims processing and disputes, provider onboarding, and/or provider servicing, healthcare operations, or another similarly regulated and operationally complex domain. Experience leading a product portfolio through significant modernization, consolidation, or reliability improvement. Demonstrated success building scalable operational tools and self-service capabilities that reduce manual work while maintaining appropriate controls. Experience developing product strategy that contributes to broader company strategy and business performance. Required Travel:  Up to 5%   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 an Associate to join our Payment Integrity 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: This role is responsible for supporting process improvement and issue resolution in the Oscar claim environment for both the Oscar Insurance business and +Oscar clients. The Associate, Payment Integrity role organizes, scopes, prepares, investigates and/or executes on solutions and process improvements within edits and ideation. This is accomplished by leveraging a deep understanding of Oscar's claim infrastructure, workflows, workflow tooling, platform logic, data models, etc., to work cross-functionally to understand and translate friction from stakeholders into actionable opportunities for improvement.  You will report into the Senior Manager, Payment Integrity. Work Location: This is a remote position, open to candidates who reside in: Atlanta, Georgia; Chicago, Illinois; Dallas, Texas; Louisville, Kentucky; Minneapolis, Minnesota; Philadelphia, Pennsylvania; Salt Lake City, Utah. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $82,717 - $108,566 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: Provide subject matter expertise and in-depth understanding of Payment Integrity internal claims processing edits, external vendor edits and Oscar reimbursement policies. Respond to internal and external inquiries and disputes regarding policies and edits. Document industry standard coding rules and provide recommendations on reimbursement policy language and scope. Ideate payment integrity opportunities based on a deep knowledge of industry standard coding rules. Translate into business requirements; submit to and collaborate with internal partners to effectuate change. Ingest information from internal and external partners regarding adverse claim outcomes; collaborate with partners to scope, size, prioritize items and deliver solutions. Use insights from partner submissions, data mining, process monitoring, etc., work with the team to proactively identify thematic areas of opportunity to solve problems. Perpetuate a culture of transparency and collaboration by keeping stakeholders well informed of progress, status changes, blockers, completion, etc.; field questions as appropriate.   Support Oscar run state objectives by providing speedy research, root cause analysis, training, etc. whenever issues are escalated and assigned by leadership.   Compliance with all applicable laws and regulations Other duties as assigned Requirements: A bachelor's degree or 4+ years of commensurate experience  4+ years of experience in claims processing, coding, auditing or health care operations 4+ years experience in medical coding within payment integrity  Medical coding certification through AAPC (CPC, COC) or AHIMA (CCS, RHIT, RHIA) Experience with reimbursement methodologies, provider contract concepts and common claims processing/resolution practices. 2+ years experience deriving business insights from datasets and solving problems  1+ years experience improving business workflows and processes 1+ years experience collaborating with internal and/or external stakeholders Bonus points: 2+ years experience in a technical role (QA analyst, PM, operations analyst, finance, consulting, industrial engineering) or a process improvement role (Six Sigma or similar) Process Improvement or Lean Six Sigma training Experience using SQL 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 an Intern 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 Intern, Actuarial will support one of Oscar's three actuarial practices: Pricing, ETF (Experience, Trends, & Forecasting), or Valuation. They will get an introduction to the healthcare industry from the perspective of an innovative, technology-driven health insurer, as well as gain valuable experience working with Oscar's actuaries and business partners to develop both the technical and communication skills required in the actuarial profession. All interns are required to report to Oscar's New York Headquarters for a minimum of three days per week. Candidates must be available 40 hours per week for a minimum of 10 weeks. You will report into the Senior Manager, Actuarial. 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 hourly rate will be $33.04-$43.37. You are also eligible for employee benefits and monthly vacation accrual at a rate of 15 days per year. Responsibilities: Produce a predetermined project or projects to support one of Oscar's actuarial teams. Projects may include building automation tools, projection models, dashboards, or experience studies. Project details will be discussed as part of the interview process and assigned according to interest and skillset. Gain exposure to actuarial concepts, tools, and industry practices. Participate in actuarial and cross-functional meetings to build relationships and rapport with internal stakeholders. Assist with ad hoc analysis and communicate findings to both actuarial and non-actuarial audiences. Compliance with all applicable laws and regulations Other duties as assigned Requirements: 3+ years of college towards a degree in Actuarial Science, Mathematics, Statistics or related field; Bonus points: Excellent problem solving, communication, and collaboration skills. Proficiency in Excel/SQL/Python Active College Students Cumulative GPA of 3.0 or higher Credit for one or more actuarial exams College Graduates Degree in Actuarial Science, Mathematics, or Statistics 2 or more actuarial exams 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: You just graduated and you know you want a commercial career, but you're not sure which lane yet. Sales? Account management? Something else? 12 months inside Flexport's commercial engine. Four rotations, four mentors, one goal: find where you fit. Months 1–3: Open doors as an SDR Months 4–6: Manage clients as an Account Manager Months 7–9: Close deals alongside a top salesperson Months 10–12: Go deep in Operations, Marketing, or Customs — your pick You'll have a named 1:1 mentor each block, plus one programme-wide buddy who stays with you the entire year. You'll also build with low-code tools alongside our engineering team. Global trade runs on tech now, not just relationships.  The payoff: after a successful completion of the program you will get a permanent Account Executive, Business Development Rep, or Account Manager role by month 12, plus a company-wide network most new hires take years to build. WHAT YOU'LL DO Block 1 – Sales Development: generate pipeline through outbound outreach, qualify leads, and keep Salesforce updated. Block 2 – Account Management: support client meetings, identify upsell/renewal opportunities, and learn the customer lifecycle. Block 3 – Sales: support a full sales cycle from discovery to close, including deal structuring and negotiation. Block 4 – Elective: complete a project in Operations, Marketing, or Customs of your choice. Alongside all four blocks, you'll also join Engineering sessions every two weeks, learn low-code/no-code tools, and build your own capstone project by year-end. Is this you? • A recent graduate (Bachelor's or Master's) — any discipline • Fluent in German and English • Willing to relocate to Hamburg or Frankfurt • Strong affinity with commercial roles but unsure which exact direction • Comfortable learning new tools and systems • No sales experience required • Solution-oriented, self-motivated, detail-oriented and organised Please note that fluency in both German and English is required. We kindly ask our candidates to apply with a CV in English! :-)  What's in there for you:  An opportunity to contribute to one of the fastest-growing companies, where you'll have the chance to create a global impact while being a part of a  thriving multinational environment Lunch food delivery 4 days a week incl. vegetarian options, a salad bar and special menu options, plus breakfast options, snacks, soft drinks and barista coffee. Health insurance:  employee contribution part is covered by Flexport 25 paid vacation days Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success. Employee Assistance Program through Aetna Resources for Living: Flexport provides an employer-sponsored program at no cost to you and your household members Parental leave benefit: Flexport is here to support you and your families in one of the most important times in life – the birth of a child! Our parental leave program allows both mothers and partners to take time off from work for pregnancy, childbirth, and to bond with your new child. 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. We are hiring a Workplace Coordinator to join Anthropic as the sole workplace team member in our Zurich office. You will own everything that makes the office run and everything that makes it a place people want to be — from building operations and vendor management to employee experience, events, and food and beverage programming. If you thrive as the person everyone counts on and love wearing many hats, this role is for you.  We have a strong in-person presence at Anthropic, and we care deeply that every office is a place where employees feel welcome, supported, and set up to do their best work. Responsibilities Office Operations & Building Management Coordinate with and manage vendors who handle day-to-day operations and maintenance of the Zurich office, including janitorial services, deliveries, office supplies, and building repairs Address workplace issues promptly (elevator down, restroom flood, HVAC failure, refrigerator not cooling, etc.), engaging the right vendor and keeping colleagues informed until the issue is resolved Conduct minor repairs and hands-on maintenance tasks; coordinate vendors for more complex work Support HVAC, preventive maintenance schedules, and building system upkeep Manage workstation setups for new hires and team changes, including monitors, monitor arms, and ergonomic equipment Support office moves, restacks, furniture reconfigurations, and space planning as the team grows Partner with Security on emergency response support and help maintain compliance with local safety codes, permits, and inspections Employee Experience & Hospitality Own the day-to-day employee experience for the Zurich office — you are the face of the office and the first point of contact for how things work Ensure new hires have a seamless first-day experience: desk ready, equipment set up, office tour, and a warm welcome Manage food and beverage programming, including snacks, coffee, catering for meetings, and team meals, keeping offerings fresh and responsive to employee preferences Monitor and proactively improve the in-office experience through regular walkthroughs, employee feedback, and observation — fix what is not working before it becomes a ticket Respond to requests in our internal ticketing system within SLAs, providing a high level of service through clear, timely, and empathetic communication Develop and preserve office culture, norms, and the hospitality standard that makes Zurich feel like an Anthropic office Events & Programming Plan and execute local office events: team gatherings, holiday celebrations, milestone moments, happy hours, and visiting-executive hospitality Coordinate with the broader Workplace, People, and Experience teams on company-wide events that have a Zurich component (All-Hands watch parties, offsites, team-building activities) Own event logistics end-to-end: space setup, catering, A/V, vendor coordination, budget tracking, and post-event teardown Support visiting teams and executives with workspace setup, local recommendations, and logistics Bring a hospitality mindset to every event and meeting setup, ensuring the space is welcoming and well-prepared Cross-Functional Coordination & Process Partner closely with People Operations, Security, the global Workplace team, IT/AV and local vendors to keep the office running smoothly Help maintain and improve Standard Operating Procedures so that recurring processes scale as the office and team grow Manage multiple competing priorities with clear judgment on what matters most Surface issues, risks, and facility needs to the global Workplace team early and clearly Minimum Qualifications Have 5+ years of experience in workplace coordination, office management, hospitality, or building operations Have working knowledge of building systems like HVAC, elevators, plumbing, and lighting, and can supervise maintenance, repairs, and services Bring a service-minded, solutions-oriented approach and genuinely enjoy being the person who makes things work Have experience managing food and beverage service, catering, or hospitality programming in an office setting Are comfortable independently managing an office — you have been the sole workplace person at a site before, or are ready to be Enjoy rolling up your sleeves, with no task too big or too small Have excellent organizational and communication skills, and can manage many competing priorities Preferred Qualifications Have managed workplace projects or programs (HVAC, preventive maintenance, office moves, events) in a multi-building or high-growth environment Have planned and executed office events, from small team gatherings to larger company celebrations Have experience at a high-growth technology company where processes are being built in real time Be interested in artificial intelligence and care that it is developed safely and beneficially Have experience managing permit, license, and inspection requirements 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 We are hiring a Technical Program Manager to lead high priority safety and security programs which advance defense in depth for agents, which we have written about publicly .  You will be the lead TPM coordinating work across teams to strengthen how we develop and deploy agents safely and securely, and to bring what we build internally to customers and partners so everyone has the tools to safely and securely use Claude. You will be responsible for leading meetings with executives and technical leads, maintaining complex project plans, identifying and addressing risks, developing metrics, and communicating to the company and our customers about this work.  Responsibilities: Maintain the roadmap - Maintain and extend the existing roadmap for all work contributing to this effort across the company and implement approaches to ensure accuracy and relevance amidst a fast operational tempo. Turn program goals into measurable exit criteria at each phase of the work - To do this well you'll need to be responsive to new developments in capabilities and the threat landscape, both of which are evolving fast. Maintain key metrics and dashboards. Run the operating rhythm - Chair the leads meetings, working group meetings, design reviews, and executive check-ins. Record decisions and actions, disseminate sitreps quickly and regularly, and follow up until open issues close. Lead executive and contributor communication - Drive conversations, write regular reports, contribute to design documents, and produce decisional documents as needed. Say plainly what is on track, what is not, and where help is needed. Maintain the risk register - Track risks, exceptions, and risk acceptances in one place and bring hard calls to the right decision maker. Drive company-wide communications - Partner with internal communications on progress updates and on rollouts that change how employees work with Claude every day. Lead through other TPMs - Coordinate subject matter specific TPMs and engineering managers who do not report to you. Set shared standards, spot coverage gaps, and step in to augment capacity where needed.  Take coordination load off technical leaders - Find owners for cross-team problems, frame tradeoffs across Security, Safeguards, Research, Privacy, Legal, and Product, manage staffing tasks, and organize exercises that test our controls. Maintain industry context - Track relevant incidents, capabilities shifts, and research across frontier labs, and understand the key risks they reveal. Bring those lessons into our threat model, roadmap, and risk register. You may be a good fit if you: Have led company-wide technical programs, especially a company-wide security program, with multiple workstreams, executive sponsors, and other program managers rolling up to you.  Have a strong background in at least one of the program's domains: agent or infrastructure security, ML classifiers and monitoring, evaluations, inference infrastructure, protecting an organization's most sensitive data, or shipping security controls to customers. You know the terminology and can ramp up on the rest quickly. Have worked closely with ML research teams and understand how models are trained and evaluated. Work independently. You set direction without waiting for instructions and know when to make decisions and when to escalate. Can command a room and hold senior engineers, researchers, and executives accountable without formal authority. Write clearly and fast for any audience, from a one-page executive brief to a company-wide announcement. Use AI tools like Claude to automate tracking, reporting, and follow-up. Care about AI safety and want to help keep powerful systems under human oversight. Have 10+ years of experience in one of the aforementioned areas.  Deadline to apply: None, applications will be received on a rolling basis. Annual Salary: TBD with Recruiting. 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: $365,000 — $435,000 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 Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. You'll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people. You'll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don't need a finance background. If you have built backend systems where correctness matters, we will teach you the domain. Responsibilities Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks Design and build the SDKs and frameworks that finance apps and agents build on Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams Shape the platform's technical direction: architecture, engineering standards and design reviews Minimum qualifications Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill Experience designing relational data models and writing SQL for complex, versioned data Experience designing APIs, SDKs and service-to-service integrations used by other teams Experience building systems with auditability, access control or compliance requirements Experience turning requirements from non-engineering partners into technical designs Strong written and verbal communication, including design docs Preferred qualifications 10+ years of experience Experience building developer platforms or paved paths Experience with streaming systems such as Pub/Sub or Kafka Experience building with LLMs and agents, including MCP Built a ledger, sub-ledger, billing or payments system Familiarity with accounting concepts: double-entry, journal entries Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management Exposure to ERP or financial systems, such as Workday Financials 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 RL teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5.1 and Claude Opus 5.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implementing our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will: Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization. Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards. Conduct experiments and shape our roadmap. Deliver your work into research and production training runs. Collaborate with other researchers and engineers across and outside Anthropic. You may be a good fit if you: Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs. Are fluent with industry EDA tools and processes. Have taped out chips and have experience going from spec to silicon. Know how to balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: Experience with reinforcement learning, evaluations or environments. Built tooling or automation around chip design flows. Worked on ML accelerators or high-performance compute hardware. Familiarity with high-level synthesis or architecture simulators. 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: $500,000 — $850,000 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 We are hiring our first Sydney-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You'll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day-to-day. Additionally, you'll help us identify and close gaps in our team's technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. Note: Specialists in Sydney will work 12pm to 8pm, Monday to Friday. Responsibilities Become an expert in all Anthropic products Respond to user support cases with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model and assisting consumer users at a rapid pace Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical "pager duty" during APAC hours to ensure 24/7 support for critical queries Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Suggest and drive improvements to increase user satisfaction through support processes, as well as own initiatives that increase efficiency and drive down contact rates Uplevel our team's technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you Have experience in providing technical product support within a second-tier, escalated, or priority support team Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g., CSAT, SLA, etc.) Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user's question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward Have experience contributing to the foundations of a support team. This is essential, highly valuable, but often unglamorous work, and it is particularly key for this role due to it being among the first Support hires in APAC/ANZ Are proficient at working in a technical environment and are interested in Anthropic's products Possess a deep sense of ownership, and are excited to help us build our team! 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 Product Manager, Technical, you will own and be responsible for building a world class support experience for Anthropic's customers and the Product Support team. You will partner with Product Support Operations, AI Support, Billing, Fraud, and Product Engineering teams to build the systems that decide how Anthropic's users get unblocked when something goes wrong, and how what they report turns into product fixes, in partnership with the product teams that own the experience. Claude will be the primary operator of that support experience. Partner with Product Support Operations, AI Support, and product engineering teams to own the systems behind the support experience end to end: the path from a recurring support driver to a shipped product fix, the Claude-based AI support layer that handles most inbound volume, and the tooling that helps human agents resolve what's left quickly and accurately. . Your north star is fewer support cases per user, and whole categories of cases eliminated, even as the product grows. The best outcome is a case that never gets opened because the product problem behind it was found and fixed. Everything in the support experience is in scope. You decide where to start. You'll define the end-to-end experience Claude delivers: diagnosing a billing failure, resolving it or escalating it, recognizing when the same failure is showing up across many customers, filing the bug with repro steps and a proposed fix, getting that to the engineering team that owns the driver, following up with the customer to confirm the issue was actually resolved, and confirming the category actually goes away once the fix ships. You will define and own the strategy and roadmap for the support-to-product feedback loop, including the escalation paths for billing, fraud, and high-visibility cases, and the metrics that show whether contact rate is falling. Responsibilities Deeply understand the needs of Product Support Operations, AI Support, Billing, Fraud, and the product engineering teams that own support drivers, from specialists handling enterprise escalations to engineers who need a support case turned into a reproducible bug they can fix. Define and iterate on the support-to-product loop: how a case is classified, how recurring drivers are surfaced in near real time with case examples and recommended fixes, how each driver gets a named owner, and how we confirm the fix decreased case volume. Own the metrics behind it:  inbound case volume by driver, drivers fixed at the root, and time from first case to shipped fix, alongside the response-time and CSAT targets Product Support Operations already runs on. Own the customer's experience of getting unblocked: how quickly a user reaches a resolution and how little friction they hit on the way, whether Claude resolves the case or hands it to a specialist. Minimize the blast radius of novel issues. New models and product changes will keep creating new drivers no one can predict; catch each one at its first reports, assess impact, and get the fix prioritized while the affected group is still small. Partner with engineering and data science to build the systems that scale with Anthropic's growth: Claude as the first responder, the data pipeline behind driver detection, and the tooling that lets Claude hand a diagnosed case to the right team. Drive product strategy and roadmap for the in-house Claude support layer, including what Claude resolves on its own, what it escalates and to whom, and how far it goes toward filing and fixing the underlying product issue itself. Own the trade-off framework between intake reduction, response time, cost, and quality, making transparent prioritization decisions about which drivers get fixed first and communicating them clearly to Product Support and senior leadership. Build conviction about what support looks like when Claude is the primary operator, and translate that into a roadmap that gets Anthropic there ahead of the volume curve. You may be a good fit if you have 7+ years of product management experience, with deep exposure to support systems, customer operations tooling, billing or payments, or internal platforms that serve operations teams Experience taking technical platform products from infancy to scale: you've built something from the ground up and grown it to serve demanding internal or external engineering customers Track record of building products that balance the needs of multiple personas, and of making prioritization trade-offs between them and communicating them clearly Ability to internalize complex technical systems (case routing, billing and payments flows, LLM-based agents, data pipelines) and translate that understanding into a comprehensive product vision Fluent across functions: you're equally credible reading a failed-payment trace with engineers, walking a specialist through why a driver got deprioritized, and explaining intake trends to leadership A strong thesis on how AI changes support: you've thought deeply about what happens when the agent that answers the case can also diagnose, file, and fix what caused it, and you want to build that Experience scaling an LLM-based product or experience from prototype to real volume, and a clear view of what breaks on the way: quality drift, cost, latency, and user trust Scrappy and resourceful: you do what it takes to get things done in a fast-moving environment Strong candidates may have: Built or scaled the systems behind a high-volume support operation for consumer or developer products: case data pipelines, driver analytics, or LLM-based support agents. Shipped an LLM-based support or operations agent in production and understand the trust, escalation, and quality-measurement problems that come with it. Defined and operationalized contact-rate or case-deflection metrics, and a point of view on how those metrics change when the fix ships in the product instead of the help center. Scaled through hypergrowth in support-heavy environments (consumer subscriptions, developer platforms, or fintech). Experience getting product and engineering teams to own support drivers, with proven evidence of driving ownership through clear evidence and product quality. 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: $385,000 — $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. 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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to professional services firms across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with consultancies, agency and marketing services groups, law firms, and accounting and advisory firms. You'll leverage your consultative sales expertise in the professional services sector to propel revenue growth while becoming a trusted partner to professional services stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in client delivery, research and analysis, and knowledge management. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with professional services decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the professional services sector. Navigate complex professional services firms to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to professional services procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse professional services market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within client delivery teams, creative and strategy functions, research and knowledge management, and business development. Collaborate cross-functionally to differentiate our offerings for professional services applications Navigate complex professional services stakeholder ecosystems including executives, partners and practice leaders, IT departments, risk and compliance functions, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from users and conveying professional services market needs. Provide insights that strengthen our value proposition for professional services Continuously refine the professional services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 8+ years of B2B Enterprise sales experience in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within professional services firms and securing strategic deals by understanding both technical requirements and professional services use cases Demonstrated ability to navigate professional services organisational structures and procurement processes, building consensus among diverse stakeholders including executives, partners and practice leaders, and IT departments Extensive experience negotiating complex agreements within professional services procurement frameworks, vendor risk and third-party assurance policies Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various professional services audiences, from practice leads and delivery teams to senior partners Deep understanding of professional services buying cycles, decision-making processes, and key pain points, including the client confidentiality and regulatory obligations firms operate within A strategic, analytical approach to assessing the professional services market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for professional services use 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: £280,000 — £330,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.