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Head of Revenue Operations, Order-to-Cash

San Francisco, CA

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 Head of Revenue Operations to lead Anthropic's order to cash operations as we continue to scale rapidly. This critical role reports to the Head of Revenue Accounting and owns end-to-end billing operations to ensure seamless order-to-cash execution. You'll be instrumental in building scalable billing processes that support our global operations while maintaining the highest standards of accuracy and customer experience.

Responsibilities:

  • Lead Global Billing Operations: Own end-to-end customer billing lifecycle from order provisioning through cash collection, ensuring accuracy, timeliness, and scalability across all channels
  • Drive Operational Excellence: Establish unified SLAs and performance standards across the complete order-to-cash cycle while reducing manual interventions through systematic process improvements and automation
  • Manage Integrated Cash Operations: Oversee payment processing optimization, collections strategy, dispute resolution workflows, and dunning and write-off policies
  • Optimize Systems & Automation: Lead billing system configurations, automate workflows, integrate order-to-cash systems in collaboration with Engineering and Sales Ops teams
  • Lead Pre-Launch Billing Testing: Orchestrate comprehensive end-to-end testing of the entire order-to-cash process for all new products and pricing changes before launch, including testing transactions, invoice generation, payment processing and revenue recognition
  • Ensure Customer Experience Excellence: Serve as escalation point for billing inquiries and payment disputes, maintaining exceptional customer experience throughout the revenue cycle
  • Establish Controls & Compliance: Implement compliance controls, segregation of duties (SOD), and audit-ready processes supporting enterprise-grade operations
  • Deliver Analytics & Insights: Develop KPI dashboards, billing metrics, and collection effectiveness reporting for data-driven decision-making
  • Lead Team Development: Nurture and scale the billing operations team; define OKRs, clarify priorities, drive results, and develop team members through mentorship and coaching
  • Enhance Cross-functional Partnerships: Partner with GTM, Sales Operations, Finance, Deal Desk, Legal, Product, Engineering, and Customer Support teams on billing-related initiatives and knowledge sharing

You may be a good fit if you have:

  • Bachelor's degree in Business, Finance, Accounting, or related field
  • 12+ years of progressive billing operations experience in high-growth SaaS/technology companies
  • 5+ years of team management experience with demonstrated ability to scale global operations teams, including talent development, performance management, and succession planning
  • Hands-on experience with modern order-to-cash systems (CRM, CPQ, billing platforms, payment processors, AR management tools) and integration with ERP systems
  • Strong analytical and data-driven mindset with ability to identify process inefficiencies and drive automation initiatives
  • Self-motivated leader with strong initiative and ownership mentality, capable of identifying opportunities and driving solutions independently
  • Thrives in ambiguous, fast-paced environments with demonstrated ability to prioritize effectively and deliver results under tight deadlines
  • Exceptional sense of responsibility and dedication with track record of going above and beyond to ensure team and company success
  • Experience supporting significant revenue growth and building scalable operations processes
  • Excellence in cross-functional collaboration and stakeholder management
  • Strong experience with revenue accounting principles (ASC 606) and ability to support month-end close and audit processes

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
  • Experience thriving in high-growth, dynamic environments where priorities shift rapidly and ambiguity is common
  • Experience implementing robust internal controls and segregation of duties frameworks in high-growth environments
  • Understanding of AI industry business models and enterprise customer needs

The expected salary range for this position is:

Annual Salary:

$230,000 - $300,000 USD

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

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