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<source>
  <jobs>
    <job>
      <externalid>d858a729-7fc</externalid>
      <Title>Senior Manager, Finance and Accounting Systems</Title>
      <Description><![CDATA[<p>You will lead the Finance Systems team responsible for architecting, scaling, and supporting enterprise platforms across GL, Revenue, Billing, Fixed Assets, Inventory, Lease Accounting. You&#39;ll partner closely with IT Product management, Finance and accounting, RevOps, Integration and Data Platforms to drive system implementation, support, compliance, automation, and integration.</p>
<p>In this role, you will own end-to-end Finance &amp; accounting system architecture spanning key business processes around GL, AP, AR, ARM, Fixed Assets, Leases and inventory accounting. You will act as the primary systems partner for Finance stakeholders, including Revenue Accounting, Operations Accounting, Tax, Fixed Assets, Treasury, GL and AP teams, while working with IT Product Management on executing the roadmap across modules aligned with business priorities.</p>
<p>You will lead a team of BSEs and administrators to deliver scalable solutions aligned to business goals, implement and execute audit ready ITGC &amp; ITAC controls for SOX Compliance, and partner with IT integration teams on cross-functional workflows and AI agents for process automation and optimization. You will also provide leadership for Finance systems admin support, GL, and operational excellence.</p>
<p>The base salary range for this role is $207,000 to $250,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>
<p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p>
<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>
<ul>
<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>
</ul>
<ul>
<li>Company-paid Life Insurance</li>
</ul>
<ul>
<li>Voluntary supplemental life insurance</li>
</ul>
<ul>
<li>Short and long-term disability insurance</li>
</ul>
<ul>
<li>Flexible Spending Account</li>
</ul>
<ul>
<li>Health Savings Account</li>
</ul>
<ul>
<li>Tuition Reimbursement</li>
</ul>
<ul>
<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>
</ul>
<ul>
<li>Mental Wellness Benefits through Spring Health</li>
</ul>
<ul>
<li>Family-Forming support provided by Carrot</li>
</ul>
<ul>
<li>Paid Parental Leave</li>
</ul>
<ul>
<li>Flexible, full-service childcare support with Kinside</li>
</ul>
<ul>
<li>401(k) with a generous employer match</li>
</ul>
<ul>
<li>Flexible PTO</li>
</ul>
<ul>
<li>Catered lunch each day in our office and data center locations</li>
</ul>
<ul>
<li>A casual work environment</li>
</ul>
<ul>
<li>A work culture focused on innovative disruption</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$207,000 to $250,000</Salaryrange>
      <Skills>ERP, finance systems leadership, technical teams management, finance processes, RevRec, GL, Fixed Assets, Tax, Inventory accounting management, Lease Accounting, treasury and Payments, Netsuite OneWorld, Advanced Financials, ARM, Multibook, Bank Payments, Squareworks AP Automation, Netgain - Netloan/NetAssets, Salesforce, Coupa, Kyriba, data platforms, SOX controls, auditors, AI use for addressing use cases in Finance &amp; accounting, Ramp, Navan, Costar, FloQast, Auditboard, Workiva</Skills>
      <Category>Finance</Category>
      <Industry>Technology</Industry>
      <Employername>CoreWeave</Employername>
      <Employerlogo>https://logos.yubhub.co/coreweave.com.png</Employerlogo>
      <Employerdescription>CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. It became a publicly traded company in March 2025.</Employerdescription>
      <Employerwebsite>https://www.coreweave.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/coreweave/jobs/4655657006</Applyto>
      <Location>Sunnyvale, CA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>f86b2355-24d</externalid>
      <Title>Incentive Compensation System Engineer</Title>
      <Description><![CDATA[<p>As an Incentive Compensation Systems Engineer, you will lead the technical implementation, configuration, and optimization of our incentive compensation management (ICM) platform. You will work closely with Revenue Operations, Data Engineering, Finance, Accounting, and HR to translate incentive compensation designs into scalable system configurations, ensuring accurate calculations, reliable integrations, and efficient workflows.</p>
<p><strong>Responsibilities:</strong></p>
<p><strong>ICM Platform Implementation &amp; Configuration</strong></p>
<ul>
<li>Lead the end-to-end implementation and configuration of our ICM platform, including plan modeling, crediting rules, quota management, and payout calculations</li>
<li>Translate compensation plan documents into system logic, ensuring accurate and auditable calculation outputs</li>
<li>Design and maintain system workflows for plan changes, exceptions, and adjustments</li>
<li>Develop and execute testing strategies to validate system accuracy before each compensation cycle</li>
<li>Provide technical guidance during plan design discussions, advising on system capabilities and constraints</li>
</ul>
<p><strong>Data Integration &amp; Architecture</strong></p>
<ul>
<li>Build and maintain integrations between the ICM platform and source systems (CRM, ERP, HRIS, billing platforms)</li>
<li>Ensure data integrity across the compensation data pipeline, from opportunity data through final payout</li>
<li>Partner with Data Engineering and Revenue Operations to define data requirements and resolve data quality issues</li>
<li>Document data flows, transformation logic, and system dependencies</li>
</ul>
<p><strong>System Administration &amp; Optimization</strong></p>
<ul>
<li>Serve as the primary system administrator for the ICM platform, managing user access, security, and system health</li>
<li>Identify opportunities to streamline and automate compensation processes, reducing manual intervention and cycle time</li>
<li>Monitor system performance and troubleshoot calculation errors or integration failures</li>
<li>Evaluate and recommend new technologies, including Claude-powered solutions, to enhance system capabilities</li>
</ul>
<p><strong>Reporting &amp; Analytics</strong></p>
<ul>
<li>Build and maintain reporting infrastructure within the ICM platform to support compensation dashboards and attainment tracking</li>
<li>Partner with Revenue Operations and Accounting to deliver accurate, timely compensation data for forecasting and accruals</li>
<li>Enable self-service reporting for compensation administrators and business partners</li>
</ul>
<p><strong>Requirements:</strong></p>
<ul>
<li>5+ years of experience implementing or administering ICM platforms (e.g., Xactly, Varicent, Anaplan)</li>
<li>Strong technical skills with experience in SQL, data integration tools, and system configuration</li>
<li>Proven ability to translate business requirements into system logic and maintain accurate, auditable calculations</li>
<li>Experience managing data pipelines and ensuring data quality across integrated systems</li>
<li>Strong problem-solving skills with a systematic approach to debugging and root cause analysis</li>
<li>Excellent documentation practices and ability to communicate technical concepts to non-technical stakeholders</li>
</ul>
<p><strong>Preferred Qualifications:</strong></p>
<ul>
<li>Experience with full ICM platform implementation projects, including vendor selection and data migration</li>
<li>Proficiency with APIs and integration platforms (e.g., Workato, Fivetran, custom ETL)</li>
<li>Experience with Salesforce administration or development</li>
<li>Familiarity with consumption-based compensation models</li>
<li>Experience with Claude Code or other AI-assisted development tools</li>
<li>Background in sales operations, revenue operations, or finance systems</li>
</ul>
<p><strong>Logistics:</strong></p>
<ul>
<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>
<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>
<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>
<li>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.</li>
<li>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.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>SQL, data integration tools, system configuration, ICM platforms, Xactly, Varicent, Anaplan, APIs, integration platforms, Workato, Fivetran, custom ETL, Salesforce administration, development, consumption-based compensation models, Claude Code, AI-assisted development tools, sales operations, revenue operations, finance systems</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5141849008</Applyto>
      <Location>Ontario, CAN</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>30da0df8-cc9</externalid>
      <Title>F&amp;S COE Analyst</Title>
      <Description><![CDATA[<p>We are seeking an analytically-driven Data Analyst to join our Finance &amp; Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights.</p>
<p>You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&amp;A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.</p>
<p><strong>Financial Data Analytics &amp; Modeling</strong></p>
<ul>
<li>Design, build, and maintain financial dashboards for FP&amp;A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker</li>
<li>Develop automated financial reporting solutions that reduce manual effort and improve data accuracy</li>
<li>Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning</li>
<li>Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics</li>
</ul>
<p><strong>Business Intelligence &amp; Reporting</strong></p>
<ul>
<li>Partner with Finance Business Partners and FP&amp;A teams to translate business requirements into technical solutions</li>
<li>Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)</li>
<li>Develop self-service analytics capabilities enabling finance teams to access real-time business insights</li>
<li>Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)</li>
</ul>
<p><strong>Data Engineering &amp; Analytics Infrastructure</strong></p>
<ul>
<li>Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems</li>
<li>Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems</li>
<li>Ensure data quality, consistency, and governance across financial reporting systems</li>
<li>Optimize database performance and data architecture for scalability</li>
</ul>
<p><strong>Strategic Analysis &amp; Insights</strong></p>
<ul>
<li>Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities</li>
<li>Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis</li>
<li>Translate complex data findings into clear, actionable recommendations for leadership</li>
<li>Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases</li>
</ul>
<p><strong>Required Qualifications</strong></p>
<ul>
<li>Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)</li>
<li>Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)</li>
<li>Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)</li>
<li>Python or R for data analysis, automation, and statistical modeling</li>
<li>Cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)</li>
<li>ETL tools (dbt, Airflow, Fivetran) and version control (Git)</li>
</ul>
<p><strong>Financial &amp; Business Acumen</strong></p>
<ul>
<li>Experience in data analytics within finance, FP&amp;A, or revenue operations functions</li>
<li>Strong understanding of financial statements (P&amp;L, balance sheet, cash flow)</li>
<li>Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA</li>
<li>Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling</li>
<li>Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)</li>
</ul>
<p><strong>Analytical &amp; Problem-Solving</strong></p>
<ul>
<li>Proven ability to work with large, complex datasets and derive meaningful insights</li>
<li>Experience building financial models and dashboards that drive executive decision-making</li>
<li>Strong statistical analysis skills and understanding of data visualization best practices</li>
<li>Track record of translating ambiguous business problems into structured analytical frameworks</li>
</ul>
<p><strong>Preferred Experience</strong></p>
<ul>
<li>Background in fintech, payments, B2B SaaS, or high-growth technology companies</li>
<li>Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)</li>
<li>Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing</li>
<li>Exposure to data science methodologies and machine learning concepts</li>
<li>Previous work in cross-functional environments collaborating with finance, data science, and business teams</li>
</ul>
<p><strong>Key Competencies</strong></p>
<ul>
<li>Business Acumen: Ability to understand complex business models and translate them into data requirements</li>
<li>Technical Excellence: Deep technical skills with commitment to code quality and best practices</li>
<li>Communication: Exceptional ability to explain technical concepts to non-technical stakeholders</li>
<li>Stakeholder Management: Experience partnering with senior leaders and influencing through data</li>
<li>Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion</li>
<li>Continuous Learning: Curiosity to learn new tools, techniques, and business domains</li>
<li>Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting</li>
</ul>
<p><strong>Education</strong></p>
<ul>
<li>Bachelor&#39;s degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field</li>
<li>Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>SQL, Tableau, Power BI, Looker, Python, R, Cloud data platforms, ETL tools, Version control, Machine learning, Data science, Finance systems, Data visualization</Skills>
      <Category>Finance</Category>
      <Industry>Technology</Industry>
      <Employername>Stripe</Employername>
      <Employerlogo>https://logos.yubhub.co/stripe.com.png</Employerlogo>
      <Employerdescription>Stripe is a financial infrastructure platform for businesses. It provides payment processing services to millions of companies worldwide.</Employerdescription>
      <Employerwebsite>https://stripe.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/stripe/jobs/7597624</Applyto>
      <Location>Bengaluru</Location>
      <Country></Country>
      <Postedate>2026-03-31</Postedate>
    </job>
    <job>
      <externalid>0310fc87-24d</externalid>
      <Title>Incentive Compensation System Engineer</Title>
      <Description><![CDATA[<p>As an Incentive Compensation Systems Engineer, you will lead the technical implementation, configuration, and optimization of our incentive compensation management (ICM) platform. You will work closely with Revenue Operations, Data Engineering, Finance, Accounting, and HR to translate incentive compensation designs into scalable system configurations, ensuring accurate calculations, reliable integrations, and efficient workflows.</p>
<p><strong>Responsibilities:</strong></p>
<p><strong>ICM Platform Implementation &amp; Configuration</strong></p>
<ul>
<li>Lead the end-to-end implementation and configuration of our ICM platform, including plan modeling, crediting rules, quota management, and payout calculations</li>
<li>Translate compensation plan documents into system logic, ensuring accurate and auditable calculation outputs</li>
<li>Design and maintain system workflows for plan changes, exceptions, and adjustments</li>
<li>Develop and execute testing strategies to validate system accuracy before each compensation cycle</li>
<li>Provide technical guidance during plan design discussions, advising on system capabilities and constraints</li>
</ul>
<p><strong>Data Integration &amp; Architecture</strong></p>
<ul>
<li>Build and maintain integrations between the ICM platform and source systems (CRM, ERP, HRIS, billing platforms)</li>
<li>Ensure data integrity across the compensation data pipeline, from opportunity data through final payout</li>
<li>Partner with Data Engineering and Revenue Operations to define data requirements and resolve data quality issues</li>
<li>Document data flows, transformation logic, and system dependencies</li>
</ul>
<p><strong>System Administration &amp; Optimization</strong></p>
<ul>
<li>Serve as the primary system administrator for the ICM platform, managing user access, security, and system health</li>
<li>Identify opportunities to streamline and automate compensation processes, reducing manual intervention and cycle time</li>
<li>Monitor system performance and troubleshoot calculation errors or integration failures</li>
<li>Evaluate and recommend new technologies, including Claude-powered solutions, to enhance system capabilities</li>
</ul>
<p><strong>Reporting &amp; Analytics</strong></p>
<ul>
<li>Build and maintain reporting infrastructure within the ICM platform to support compensation dashboards and attainment tracking</li>
<li>Partner with Revenue Operations and Accounting to deliver accurate, timely compensation data for forecasting and accruals</li>
<li>Enable self-service reporting for compensation administrators and business partners</li>
</ul>
<p><strong>You may be a good fit if you have:</strong></p>
<ul>
<li>A passion for Anthropic&#39;s mission to build safe, transformative AI systems</li>
<li>5+ years of experience implementing or administering ICM platforms (e.g., Xactly, Varicent, Anaplan)</li>
<li>Strong technical skills with experience in SQL, data integration tools, and system configuration</li>
<li>Proven ability to translate business requirements into system logic and maintain accurate, auditable calculations</li>
<li>Experience managing data pipelines and ensuring data quality across integrated systems</li>
<li>Strong problem solving skills with a systematic approach to debugging and root cause analysis</li>
<li>Excellent documentation practices and ability to communicate technical concepts to non-technical stakeholders</li>
<li>Bachelor&#39;s degree in a technical or quantitative field preferred</li>
</ul>
<p><strong>Strong candidates may also have:</strong></p>
<ul>
<li>Experience with full ICM platform implementation projects, including vendor selection and data migration</li>
<li>Proficiency with APIs and integration platforms (e.g., Workato, Fivetran, custom ETL)</li>
<li>Experience with Salesforce administration or development</li>
<li>Familiarity with consumption-based compensation models</li>
<li>Experience with Claude Code or other AI-assisted development tools</li>
<li>Background in sales operations, revenue operations, or finance systems</li>
</ul>
<p>The annual compensation range for this role is $190,000 - $270,000 USD.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$190,000 - $270,000 USD</Salaryrange>
      <Skills>ICM platform implementation, SQL, data integration tools, system configuration, data pipeline management, problem solving, documentation, communication, full ICM platform implementation, APIs and integration platforms, Salesforce administration, consumption-based compensation models, Claude Code, sales operations, revenue operations, finance systems</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a rapidly growing organisation focused on creating reliable, interpretable, and steerable AI systems. The company aims to build safe and beneficial AI systems for users and society as a whole.</Employerdescription>
      <Employerwebsite>https://job-boards.greenhouse.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5042002008</Applyto>
      <Location>San Francisco, CA | New York City, NY</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
    <job>
      <externalid>25829001-a4a</externalid>
      <Title>Incentive Compensation System Engineer</Title>
      <Description><![CDATA[<p>As an Incentive Compensation Systems Engineer, you will lead the technical implementation, configuration, and optimization of our incentive compensation management (ICM) platform. You will work closely with Revenue Operations, Data Engineering, Finance, Accounting, and HR to translate incentive compensation designs into scalable system configurations, ensuring accurate calculations, reliable integrations, and efficient workflows.</p>
<p><strong>Responsibilities:</strong></p>
<p><strong>ICM Platform Implementation &amp; Configuration</strong></p>
<ul>
<li>Lead the end-to-end implementation and configuration of our ICM platform, including plan modeling, crediting rules, quota management, and payout calculations</li>
<li>Translate compensation plan documents into system logic, ensuring accurate and auditable calculation outputs</li>
<li>Design and maintain system workflows for plan changes, exceptions, and adjustments</li>
<li>Develop and execute testing strategies to validate system accuracy before each compensation cycle</li>
<li>Provide technical guidance during plan design discussions, advising on system capabilities and constraints</li>
</ul>
<p><strong>Data Integration &amp; Architecture</strong></p>
<ul>
<li>Build and maintain integrations between the ICM platform and source systems (CRM, ERP, HRIS, billing platforms)</li>
<li>Ensure data integrity across the compensation data pipeline, from opportunity data through final payout</li>
<li>Partner with Data Engineering and Revenue Operations to define data requirements and resolve data quality issues</li>
<li>Document data flows, transformation logic, and system dependencies</li>
</ul>
<p><strong>System Administration &amp; Optimization</strong></p>
<ul>
<li>Serve as the primary system administrator for the ICM platform, managing user access, security, and system health</li>
<li>Identify opportunities to streamline and automate compensation processes, reducing manual intervention and cycle time</li>
<li>Monitor system performance and troubleshoot calculation errors or integration failures</li>
<li>Evaluate and recommend new technologies, including Claude-powered solutions, to enhance system capabilities</li>
</ul>
<p><strong>Reporting &amp; Analytics</strong></p>
<ul>
<li>Build and maintain reporting infrastructure within the ICM platform to support compensation dashboards and attainment tracking</li>
<li>Partner with Revenue Operations and Accounting to deliver accurate, timely compensation data for forecasting and accruals</li>
<li>Enable self-service reporting for compensation administrators and business partners</li>
</ul>
<p><strong>You may be a good fit if you have:</strong></p>
<ul>
<li>A passion for Anthropic&#39;s mission to build safe, transformative AI systems</li>
<li>5+ years of experience implementing or administering ICM platforms (e.g., Xactly, Varicent, Anaplan)</li>
<li>Strong technical skills with experience in SQL, data integration tools, and system configuration</li>
<li>Proven ability to translate business requirements into system logic and maintain accurate, auditable calculations</li>
<li>Experience managing data pipelines and ensuring data quality across integrated systems</li>
<li>Strong problem solving skills with a systematic approach to debugging and root cause analysis</li>
<li>Excellent documentation practices and ability to communicate technical concepts to non-technical stakeholders</li>
<li>Bachelor&#39;s degree in a technical or quantitative field preferred</li>
</ul>
<p><strong>Strong candidates may also have:</strong></p>
<ul>
<li>Experience with full ICM platform implementation projects, including vendor selection and data migration</li>
<li>Proficiency with APIs and integration platforms (e.g., Workato, Fivetran, custom ETL)</li>
<li>Experience with Salesforce administration or development</li>
<li>Familiarity with consumption-based compensation models</li>
<li>Experience with Claude Code or other AI-assisted development tools</li>
<li>Background in sales operations, revenue operations, or finance systems</li>
</ul>
<p><strong>Logistics</strong></p>
<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> 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. <strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;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. <strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> 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&#39;re interested in this work. <strong>Your safety matters to us.</strong> 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.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>SQL, data integration tools, system configuration, ICM platforms, Xactly, Varicent, Anaplan, APIs, integration platforms, Workato, Fivetran, custom ETL, Salesforce administration, development, consumption-based compensation models, Claude Code, AI-assisted development tools, sales operations, revenue operations, finance systems</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a rapidly growing organisation that aims to create reliable, interpretable, and steerable AI systems. The company has a team of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</Employerdescription>
      <Employerwebsite>https://job-boards.greenhouse.io</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5141849008</Applyto>
      <Location>Ontario</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
    <job>
      <externalid>8c8874a5-184</externalid>
      <Title>Engineering Manager, Order Systems</Title>
      <Description><![CDATA[<p><strong>Engineering Manager, Order Systems</strong></p>
<p><strong>Location</strong></p>
<p>San Francisco</p>
<p><strong>Employment Type</strong></p>
<p>Full time</p>
<p><strong>Location Type</strong></p>
<p>Hybrid</p>
<p><strong>Department</strong></p>
<p>Applied AI</p>
<p><strong>Compensation</strong></p>
<ul>
<li>$293K – $385K • Offers Equity</li>
</ul>
<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>
<ul>
<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>
</ul>
<ul>
<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>
</ul>
<ul>
<li>401(k) retirement plan with employer match</li>
</ul>
<ul>
<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>
</ul>
<ul>
<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>
</ul>
<ul>
<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>
</ul>
<ul>
<li>Mental health and wellness support</li>
</ul>
<ul>
<li>Employer-paid basic life and disability coverage</li>
</ul>
<ul>
<li>Annual learning and development stipend to fuel your professional growth</li>
</ul>
<ul>
<li>Daily meals in our offices, and meal delivery credits as eligible</li>
</ul>
<ul>
<li>Relocation support for eligible employees</li>
</ul>
<ul>
<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>
</ul>
<p>More details about our benefits are available to candidates during the hiring process.</p>
<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>
<p><strong>About the Team</strong></p>
<p>Within Applied Engineering, the Financial Engineering team ensures that our products are monetized effectively to accommodate customers&#39; varying needs and scales. Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements.</p>
<p><strong>About the role</strong></p>
<p>We are looking for an Engineering Manager to build and operate the workflows to power quoting, tracking, and fulfillment for everything sold by OpenAI. We also build critical billing and invoicing capabilities (and partner closely on customer-facing billing experiences) to ensure financial integrity, auditability, and a seamless, transparent onboarding and billing journey for enterprise customers.</p>
<p><strong>In this role you will:</strong></p>
<ul>
<li>Lead and grow a team of engineers responsible for order management automation, focusing on reliability, correctness, and smooth customer onboarding.</li>
</ul>
<ul>
<li>Own the architecture and roadmap for order data flows into downstream systems (e.g., internal provisioning services, billing/invoicing services, and revenue workflows).</li>
</ul>
<ul>
<li>Build and operate resilient workflows and services that automate entitlements, provisioning, usage controls, SKU attribution, invoice generation/delivery, and revenue recognition—minimizing manual steps while maximizing correctness and traceability.</li>
</ul>
<ul>
<li>Improve accuracy and timeliness of provisioning, billing, and invoicing—reducing manual intervention and operational load through automation, validation, and reconciliations.</li>
</ul>
<ul>
<li>Establish strong operational practices (observability, alerting, runbooks, on-call) so systems remain healthy without constant human oversight.</li>
</ul>
<ul>
<li>Partner deeply with Sales Operations, Finance, Accounting, Support, Product, Security, and Compliance to translate requirements into resilient, auditable workflows.</li>
</ul>
<ul>
<li>Drive clarity across ambiguous problem spaces and evolving product offerings; create frameworks and abstractions that scale as OpenAI’s commercial footprint expands.</li>
</ul>
<ul>
<li>Set high engineering standards via technical direction, design reviews, mentoring, and fostering a culture of ownership and continuous improvement.</li>
</ul>
<ul>
<li>Bring strong leadership: teach and level up engineers, recruit and retain talent, manage stakeholders, and scope work to balance customer needs with realistic deliverables.</li>
</ul>
<p><strong>You might thrive in this role if you:</strong></p>
<ul>
<li>Have 7+ years of professional software engineering experience, including 3+ years leading engineers or managing teams.</li>
</ul>
<ul>
<li>Have experience integrating revenue platforms (e.g., CPQ, billing, invoicing, revenue recognition, entitlement systems).</li>
</ul>
<ul>
<li>Have built or operated complex commerce / SaaS ordering systems.</li>
</ul>
<ul>
<li>Are strong in systems design, data modeling, and building reliable distributed services and workflows.</li>
</ul>
<ul>
<li>Have experience in domains where correctness, auditability, and reconciliation are essential (e.g., payments, ERP/finance systems, invoicing/revenue recognition).</li>
</ul>
<ul>
<li>Can lead (or effectively partner on) customer-facing billing experiences with a focus on clarity, accessibility, and trust.</li>
</ul>
<ul>
<li>Care deeply about operational excellence and building systems that are observable, predictable, and resilient.</li>
</ul>
<ul>
<li>Communicate clearly, build trust, and lead with context rather than control; you’re energized by close cross-functional partnership.</li>
</ul>
<p><strong>Nice to Have</strong></p>
<ul>
<li>Experience with large-scale SaaS billing or enterprise account provisioning; usage-based and/or seat-based pricing; invoice generation at scale.</li>
</ul>
<ul>
<li>Familiarity with finance and revenue operations concepts (e.g., proration, credits/adjustments, revenue schedules).</li>
</ul>
<ul>
<li>Exposure to common CRM/ERP and payment ecosystems (e.g., CPQ, invoicing, collections, payment processors), without reliance on any single vendor.</li>
</ul>
<p><strong>About OpenAI</strong></p>
<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose technologies like artificial intelligence benefit all of humanity.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$293K – $385K • Offers Equity</Salaryrange>
      <Skills>software engineering, revenue platforms, CPQ, billing, invoicing, revenue recognition, entitlement systems, complex commerce, SaaS ordering systems, systems design, data modeling, distributed services, workflows, payments, ERP/finance systems, invoicing/revenue recognition, large-scale SaaS billing, enterprise account provisioning, usage-based pricing, seat-based pricing, invoice generation at scale, finance and revenue operations, proration, credits/adjustments, revenue schedules, CRM/ERP and payment ecosystems, CPQ, invoicing, collections, payment processors</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>OpenAI</Employername>
      <Employerlogo>https://logos.yubhub.co/openai.com.png</Employerlogo>
      <Employerdescription>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose technologies like artificial intelligence benefit all of humanity.
OpenAI is an AI research and deployment company.</Employerdescription>
      <Employerwebsite>https://jobs.ashbyhq.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.ashbyhq.com/openai/a9a1ada5-118b-4b12-80ce-59846c4bd2bf</Applyto>
      <Location>San Francisco</Location>
      <Country></Country>
      <Postedate>2026-03-06</Postedate>
    </job>
  </jobs>
</source>