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About Our Company: Headquartered in Denver, Colorado, Cologix is a leading North America network-neutral interconnection and hyperscale edge data center company. Our platform gives customers access to 45+ digital edge and Scalelogix℠ hyperscale edge data centers in 13 markets across the United States and Canada along with a carrier-dense ecosystem of 710+ networks, 360+ cloud providers, 35+ onramps and seven Internet exchanges. We provide our nearly 2,000 customers with direct access to our local operations teams, resulting in strong partnerships enabled by exceptional operational support and unparalleled customer service. Backed by one of the largest North American infrastructure funds, Cologix's experienced leadership team, certified staff and commitment to ESG initiatives help form a culture that values our people, our environment and our clients. About the Position: Cologix is seeking a Senior Revenue Accountant to join our Accounting organization. Reporting to the Controller, this role will be responsible for lease and other revenue accounting, with a focus on accurate revenue recognition, billing support, accounts receivable analysis, revenue accruals and deferrals, sales commission accounting, and timely month-end close activities. What You'll Do Maintain the NetLessor lease revenue system in NetSuite to support complete and accurate lease revenue accounting Coordinate with the Billing team to identify revenue billing and revenue recognition timing differences to ensure related accruals and deferrals are recorded appropriately Partner with Sales and Billing teams to confirm sales orders are structured to support proper revenue recognition Monitor accounts receivable balances, evaluate collectability, and record reserves in accordance with Company policy Align sales commission expense recognition with the related revenue and applicable accounting requirements Ensure long-term revenue deferrals are recorded, reconciled and amortized accurately Support the annual external audit by preparing schedules, responding to requests and explaining revenue-related activity Prepare timely and accurate general ledger entries, account reconciliations and supporting documentation Organize and maintain revenue accounting support Own assigned close activities to ensure a timely and accurate month-end close process Analyze monthly fluctuations and present clear explanations to management Research and resolve accounting issues, initiate corrective actions and record adjustments as needed Identify, develop and implement procedures and process improvements that strengthen revenue accounting operations and controls What Makes You a Good Fit Bachelor's degree in Accounting required; CPA preferred 4–8 years of relevant accounting experience Experience with lease revenue recognition or revenue accounting in a recurring-revenue environment preferred Strong working knowledge of U.S. GAAP, revenue recognition policies, accounts receivable reserve methodologies and internal controls. Advanced Excel skills and a strong aptitude for technology; Power Query experience preferred Demonstrated ability to interpret, reconcile and analyze large data sets NetLessor SuiteApp and NetSuite experience preferred Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or transfer sponsorship of an employment visa at this time, including CPT/OPT. Compensation Benefits: We offer a competitive benefit package for full-time employees that includes: Medical, dental, and vision insurance Company paid Life Insurance Voluntary supplemental life insurance Flexible spending account Health savings account Non-accrued PTO Short- and Long-Term Disability Company paid holidays 401k Retirement Plan with employer match Mental Wellness Benefits Tuition Reimbursement Paid Parental Leave Employee Discount Marketplace Employee Recognition Platform Individual compensation will be commensurate with the candidate's experience. This position will also be eligible for an annual bonus. Additional Information NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as assigned to meet the ongoing needs of the organization. Cologix is proud to be an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status. If you need assistance in applying for any of our open positions, please contact us at recruiting@cologix.com or call 720-940-2551. The California Consumer Privacy Act ("CCPA") creates privacy rights relating to the collection, sale, disclosure, and deletion of consumers' personal information. The CCPA requires businesses to provide consumers, including job applicants and employees, with information about their rights, including a description of the categories of personal information to be collected and the purpose for which the information will be used. For additional information regarding your rights, including a description of the categories of personal information to be collected and the purpose for which the information will be used, please see https://cologix.com/privacy-policy/ . Cologix' data centers are ISO 27001:2022 and ISO 14001:2015 certified. These certifications demonstrate Cologix's commitment to both information security and environmental stewardship. At Cologix, protecting information assets and minimizing environmental impacts are everyone's responsibility. Cologix employees are responsible for: • Understanding and following Cologix's information security, cybersecurity, privacy, and environmental management policies, procedures, and standards. • Ensuring conformance with the requirements of both the Information Security Management System (ISMS) and the Environmental Management System (EMS). • Remaining vigilant and reporting any information security or environmental incidents, vulnerabilities, risks, or non-conformities to the appropriate teams. • Actively participating in Cologix's efforts to maintain and improve information security and environmental performance.

Salary: $140-160K. With top performance, you are also eligible to become a shareholder in our company and earn equity. Benefits: FREE employee-only medical coverage under one of our plans. FREE short-term disability and FREE life insurance coverage. Plus, a 4% employer match with our 401(k). Other incredible benefits HERE. Location: Remote, anywhere in the continental U.S. Reports to: CFO Your Mission Lead our financial and accounting operations, drive strategic planning, and build a scalable finance organization. As a key strategic partner to leadership, oversee FP&A, accelerate automation and technology integrations across financial systems, modernize budgeting processes, and build advanced data analysis and insight capabilities to transform transactional operations into a strategic growth engine. Your Legacy As Director of Finance, you will build a scalable, high-performing finance organization that transforms transactional accounting into a strategic growth engine. By accelerating automation across Playbook OS, NetSuite, Stripe, and Brex, achieving a repeatable 10-day monthly close, and deploying predictive scenario modeling and real-time dashboards, you will establish robust financial governance, drive departmental accountability, and ensure long-term audit and exit readiness. Responsibilities Strategic Financial Planning & Analysis (FP&A) : Oversee long-term financial modeling, forecasting, and strategic decision support for leadership. Automation & System Integration : Accelerate automation and technology integrations across Stripe, NetSuite, Brex, and our proprietary internal operating platform, Playbook OS. Budgeting & Variance Reporting: Modernize annual budgeting and actual vs. budget reporting processes, targeting a monthly close within 10 days. Data Analysis & Insight Generation : Build advanced data capabilities to deliver actionable financial insights that empower department heads. Team Leadership & Organizational Scaling: Build, mentor, and scale a high-performing finance team capable of supporting rapid company growth. Accounting & Compliance: GAAP compliance, external audit management, tax strategy, and multi-entity/subsidiary consolidation. Treasury & Cash Management: Working capital optimization, free cash flow (FCF) forecasting, and cash buffer governance. Exit / M&A Readiness: Data room preparation, quality of earnings (QoE) readiness, and board/investor reporting. Core Competencies and Qualifications 8–12+ years of progressive finance experience , blending foundational accounting/controllership rigor with high-growth strategic FP&A. Credentials : Bachelor's degree in Finance, Accounting, or Economics required; CPA, CFA, or MBA strongly preferred. Systems Mastery: Proven track record administering and integrating NetSuite, high-volume payment processors (Stripe), and spend management platforms (Brex). Advanced SQL or BI dashboarding experience is a strong plus. Strategic & Operational Range : Ability to zoom out for board-level scenario modeling and zoom in to troubleshoot complex multi-entity reconciliations or ERP data flows. Executive Presence & Influence: A collaborative coach who translates complex financial data into clear operational narratives for non-finance leaders Compensation Additional Information Our Core Values: Playbook's culture is based on a shared respect for our lived values HERE. Fit with our values is a critical component of our hiring process, and you and all of our colleagues are expected to live our core values in interactions with team members, customers, and stakeholders. An assessment of how you have exhibited our values is also an important part of your performance review process. Our Commitment To You: Playbook is committed to building a team that represents a variety of backgrounds, perspectives, and skills. We know the more inclusive we are, the greater our impact will be! A Quick Note About Salaries: We list salaries based on a few key factors. These include location-specific budgets, market trends, team size, and the scope of the building. Since we're a national company working with office properties of all shapes and sizes, the listed salary is tailored specifically to this role and may differ from similar-titled roles on our Careers Page. Curious or want to chat more about it? We promise to be open and transparent about these details throughout our interview process.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role We are seeking a detail-oriented and proactive Marketing Intern to assist the APAC Marketing team with daily operational execution. In this role, you will gain hands-on experience in a fast-paced B2B technology environment by providing essential administrative and operational support across various marketing activities. This is an excellent opportunity for an enthusiastic student or early-career candidate looking to build foundational skills in marketing coordination, content management, and regional communications. 6-month contract position. Administrative & Campaign Coordination: Provide day-to-day administrative support to the APAC Marketing team, including scheduling, event logistics, project tracking, and vendor or agency coordination. Content & Digital Asset Management: Assist with uploading content, organizing assets, and maintaining the regional digital asset library and content management system. Creative & Collateral Support: Provide light graphic design support (using tools like Canva or Adobe Suite) to format presentations, social media visuals, localized materials, and event collateral. Localization & Quality Control: Assist with basic document formatting, proofreading translated materials, and ensuring brand consistency across regional assets. Reporting & Operations: Gather and organize basic metrics and performance data for marketing campaigns, content, and events, while supporting the team with ad-hoc operational tasks and special projects. Currently pursuing or recently graduated with a degree in Marketing, Communications, Business Administration, Media, or a related field. Strong organizational skills with keen attention to detail and ability to multi-task effectively. Good collaborative attitude, willingness to learn, and strong interpersonal skills. Proficient in Microsoft Office (Word, Excel, Powerpoint) and Google Workspace. Basic familiarity with visual design tools (e.g., Canva) or eager to learn them. Ability to communicate effectively in English within a global business environment, with native-level or fluent Korean skills. Basic familiarity with enterprise tools, content management systems, or project management platforms. Prior internship or volunteer experience in an administrative, coordi

Working at Omnisend is... kind of boring. Not the soul-crushing kind of boring — more like the "no drama, no chaos, just smart people doing great work" kind. The kind that lets you focus on what matters, without pointless meetings, micromanagement, or bureaucracy. We're data-driven. We test, we iterate, we improve. Gut feelings don't drive decisions — insights do. We trust each other. We're transparent, give real feedback, and actually listen. No egos, no hand-holding — just a team of experienced professionals moving fast, adapting easily, and delivering impact. Omnisend is customer-funded and customer-driven. Our work is rooted in solving real problems that help ecommerce brands grow. No empty promises — we bring in results. And yes, we have fun. But the grown-up kind — workations, team gatherings, the occasional party. No forced fun, no awkward icebreakers. Just genuine moments with a team that actually enjoys working together. About the role: We are looking for a Senior Software Engineer with a focus on backend development. Proactive, product-minded individuals who are enthusiastic about crafting impactful and scalable software products will thrive at Omnisend. You would join the Audience team that helps ecommerce businesses to make marketing messages personal by providing their customer insights and effective targeting capabilities. The Audience team is responsible for: Contact profiles - 1.4 billion contact profiles across all active stores: identity, properties and the full stream processing of shopping behavior from stores, forms and integrations. That's up to 20,000+ events per second. Segmentation engine - turns ~10 billion behavioral events a month into always-fresh customer groups. It processes over a billion segment entries and exits every month, so the right customers get the right message at the right moment. Keeping that fast and accurate at our scale is the core engineering challenge of the team. AI and pre-built segments - merchants describe an audience in plain words and get a segment, or start from ready-made segments based on proven e-commerce practices. No marketing expertise needed. Contribute significantly to product development decisions. Design, develop, and test features. Resolve technical challenges for seamless system functionality and optimal performance. Maintain features with effective monitoring, logging, and alerting. Share best practices with team members. Hands-on experience (5+ years) implementing and maintaining scalable, highly available, high-load systems. Customer centricity - putting the customer at the core of all business decisions and actions. Ideally, experience with Golang or alternatively proficiency in any backend programming language with the willingness to learn Golang. Experience with React or any equivalent framework with willingness to learn React. Familiarity with modern software build pipelines and tools. Proficiency in NoSQL and SQL database, with willingness to learn MongoDB, Bigtable, Post

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 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 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 We are seeking an experienced Compensation Partner to join our Total Rewards team and lead compensation for our international locations as Anthropic builds out its global presence. This role will support our international org on the strategy, design and execution of Anthropic's compensation programs, adapting a global framework to markets that work differently. It is a great fit for someone who has seen compensation excellence at scale and has operated in rapidly scaling, high-ambiguity environments with evolving scope. You'll serve as connective tissue between a fast-moving regional business and a global Total Rewards team.  Responsibilities Own compensation for our international locations (such as Germany, France, UK, Ireland, Japan, Australia, India, and beyond as the international team grows), building scalable processes and infrastructure across key markets Support Anthropic's overall compensation framework, including salary, variable compensation and equity-based programs, and adapt it for local market practice, legal requirements, and competitive dynamics while keeping a consistent global philosophy Operate as a strategic compensation business partner to international leadership, People Partners, and recruiting, building relationships and context to navigate ambiguous problems and recommend solutions tailored to Anthropic's unique needs Own comp cycle execution end-to-end for international employees, including local market benchmarking, budget modeling, currency considerations, manager enablement, edge-case resolution, and exec-ready rollups, in partnership with the broader Total Rewards team Navigate complex international regulatory environments, ensuring compliance with local pay and employment requirements across markets, including works councils, statutory pay and benefits requirements, pay transparency obligations, and country-specific equity and tax considerations, in close partnership with Legal and Equity Build and maintain international benchmarking methodology Provide subject matter expertise and counsel to People Partners, managers and leadership on pay decisions, policy and guideline interpretations, and job evaluations across regions Create compelling data narratives and presentations for leadership, translating complex analysis into clear strategic recommendations Partner cross-functionally to develop scalable processes that enable consistent, high-quality compensation decision-making across the organization Develop and deliver enablement on our compensation philosophy and programs across Anthropic for your business stakeholders You may be a good fit if you: Have deep expertise in compensation, preferably in a high-growth environment, with direct experience across multiple countries or regions Have a strong working knowledge of international compensation practices and the regulatory landscape across key markets, including works councils and pay transparency requirements Have experience localizing global compensation programs Excel at collaborating across time zones with exceptional cross-cultural communication skills Have strong collaboration and program management skills, with a track record of taking on ambiguously-scoped projects and taking ownership to deliver great results Thrive in strategic thinking while remaining comfortable with hands-on execution and detailed analysis Are an exceptional communicator, particularly in writing Are comfortable with ambiguity and thrive in fast-paced, high-growth environments Strong candidates may also: Speak languages relevant to our international markets (fluency in German, French, Japanese, or other languages is a plus) Have supported a US-headquartered company through rapid international expansion 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: £190,000 — £190,000 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.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Compensation Partner to join our Total Rewards team and lead compensation for our international locations as Anthropic builds out its global presence. This role will support our international org on the strategy, design and execution of Anthropic's compensation programs, adapting a global framework to markets that work differently. It is a great fit for someone who has seen compensation excellence at scale and has operated in rapidly scaling, high-ambiguity environments with evolving scope. You'll serve as connective tissue between a fast-moving regional business and a global Total Rewards team.  Responsibilities Own compensation for our international locations (such as Germany, France, UK, Ireland, Japan, Australia, India, and beyond as the international team grows), building scalable processes and infrastructure across key markets Support Anthropic's overall compensation framework, including salary, variable compensation and equity-based programs, and adapt it for local market practice, legal requirements, and competitive dynamics while keeping a consistent global philosophy Operate as a strategic compensation business partner to international leadership, People Partners, and recruiting, building relationships and context to navigate ambiguous problems and recommend solutions tailored to Anthropic's unique needs Own comp cycle execution end-to-end for international employees, including local market benchmarking, budget modeling, currency considerations, manager enablement, edge-case resolution, and exec-ready rollups, in partnership with the broader Total Rewards team Navigate complex international regulatory environments, ensuring compliance with local pay and employment requirements across markets, including works councils, statutory pay and benefits requirements, pay transparency obligations, and country-specific equity and tax considerations, in close partnership with Legal and Equity Build and maintain international benchmarking methodology Provide subject matter expertise and counsel to People Partners, managers and leadership on pay decisions, policy and guideline interpretations, and job evaluations across regions Create compelling data narratives and presentations for leadership, translating complex analysis into clear strategic recommendations Partner cross-functionally to develop scalable processes that enable consistent, high-quality compensation decision-making across the organization Develop and deliver enablement on our compensation philosophy and programs across Anthropic for your business stakeholders You may be a good fit if you: Have deep expertise in compensation, preferably in a high-growth environment, with direct experience across multiple countries or regions Have a strong working knowledge of international compensation practices and the regulatory landscape across key markets, including works councils and pay transparency requirements Have experience localizing global compensation programs Excel at collaborating across time zones with exceptional cross-cultural communication skills Have strong collaboration and program management skills, with a track record of taking on ambiguously-scoped projects and taking ownership to deliver great results Thrive in strategic thinking while remaining comfortable with hands-on execution and detailed analysis Are an exceptional communicator, particularly in writing Are comfortable with ambiguity and thrive in fast-paced, high-growth environments Strong candidates may also: Speak languages relevant to our international markets (fluency in German, French, Japanese, or other languages is a plus) Have supported a US-headquartered company through rapid international expansion 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: €220.000 — €220.000 EUR Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 is seeking a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems Design and run detective controls that catch billing errors before they reach the accounting books Partner with billing engineering teams to turn repeat checks into automated verifiers Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch Experience running these systems under public company reporting requirements, and scaling them as the company grew Experience with usage-based or consumption billing Experience with multi-party billing, such as marketplaces, or app stores Experience turning manual checks into automated verifiers with engineering teams Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials Python for data analysis or automation The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $345,000 — $425,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.