Order Management & Billing Lead
Anthropic
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 leader to own and scale Anthropic's order management and billing function as we continue to grow rapidly. This critical role reports to the Head of Revenue Accounting and has full accountability for building and leading the billing operations organization from contract provisioning through invoice generation. You'll be instrumental in establishing scalable processes, systems, and teams that support our global operations while maintaining the highest standards of accuracy and customer experience.
Responsibilities:
- Own Global Billing Operations: Take full accountability for the customer billing lifecycle from contract provisioning through invoice generation, ensuring accuracy, timeliness, and scalability across all channels
- Drive Operational Excellence: Establish unified SLAs and performance standards across the billing cycle while reducing manual interventions through systematic process improvements and automation
- Build Systems & Automation: Lead billing system configurations, automate workflows, and integrate billing systems in collaboration with Engineering, Sales Operations, and Finance Systems teams
- Partner with Deal Desk and GTM Teams: Provide strategic consultation on billing infrastructure capabilities and deal structuring to enable seamless contract-to-billing execution
- Ensure Customer Experience Excellence: Serve as escalation point for billing inquiries and disputes, maintaining exceptional customer experience throughout the billing cycle
- Own Renewal Process: Take full accountability for customer renewals, driving continuous improvement in renewal operations, customer experience, and process efficiency
- Lead Pre-Launch Billing Testing: Work closely with Product organization to orchestrate comprehensive end-to-end testing of the entire billing process for all new products and pricing changes before launch, including testing transactions, invoice generation, and revenue recognition
- Own OM & Billing related procedures in month-end close and financial audit: Play a critical role in close and audit processes, ensuring accuracy and completeness of upstream data flowing into financial systems and ERP
- Establish Controls & Compliance: Implement compliance controls, segregation of duties (SOD), and audit-ready processes supporting enterprise-grade operations
- Deliver Analytics & Insights: Develop KPI dashboards and billing metrics for data-driven decision-making
- Build and Lead Team: Establish, scale, and develop the billing operations organization; define OKRs, clarify priorities, drive results, and develop team members through mentorship and coaching
You may be a good fit if you have:
- Bachelor's degree in Business, Finance, Accounting, or related field
- 15+ years of progressive billing operations experience in a combination of high-growth technology companies and public companies
- 5+ years of leadership experience scaling teams through periods of significant growth; demonstrated success in organizational design, effective hiring, setting team priorities and OKRs, coaching and developing talent, and driving performance
- Demonstrated ability to own an entire function with full accountability for strategy, execution, and results in ambiguous, fast-paced environments
- Hands-on experience with modern billing systems (CRM, CPQ, billing platforms) and integration with ERP systems
- Strong analytical mindset with proven track record driving process improvements, automation, and scalable operations to support significant revenue growth
- Excellence in cross-functional collaboration and stakeholder management across technical and business teams
- Strong experience with revenue accounting principles (ASC 606) and ability to support month-end close and audit processes
- Data-savvy with proven track record working with large datasets and ensuring data accuracy and completeness for financial reporting and ERP systems
Strong candidates may also have:
- Expert knowledge of consumption-based and subscription billing models with experience in complex pricing structures
- Experience serving both consumers and enterprise customers
- Experience with third-party marketplace sales channels
- Understanding of AI industry business models and enterprise customer needs
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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.
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