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Order Management
Order ManagementAnthropic • San Francisco, CA, US
Order Management

Order Management

Anthropic • San Francisco, CA, US
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Order Management

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

We're seeking an experienced Order Management professional to join our Revenue Accounting Team. In this pivotal role, you'll spearhead the development and scaling of our order management processes while solving complex, cross-functional challenges. You'll collaborate across the organization to drive critical financial infrastructure improvements. If you're passionate about making a significant impact at an innovative company at the forefront of AI development, join us in our mission to build cutting-edge, safe AI systems.

Core Operations & Financial Management

  • Drive aspects of order management and billing operations, ensuring accuracy, completeness, and timeliness
  • Independently resolve complex billing scenarios, including contract modifications, usage disputes, and non-standard pricing structures
  • Lead comprehensive User Acceptance Testing (UAT) for new product launches and influence product introduction processes by providing expert guidance on billing and order management implications
  • Support monthly accounting close activities, including contract review, usage validation, invoice verification, journal entries, and analytics
  • Develop and track operational metrics to support strategic decision-making
  • Support global business operations and international customer requirements

Strategic Partnerships & Collaboration

  • Collaborate closely with other pillars of the Revenue Accounting and Operations Team, including Revenue Accounting, Technical Revenue Accounting, and AR & Collections
  • Cultivate strategic partnerships with cross-functional teams across the Quote-to-Cash ecosystem, including GTM, Legal, Tax, Billing Engineering, and Finance Systems
  • Process & System Optimization

  • Identify and implement process improvements to enhance efficiency, scalability, and overall customer experience
  • Partner with vendors to optimize billing systems, evaluate new features, and implement innovative solutions
  • Independently own the end-to-end RFP process and implementation of new systems in the order management domain, from initial requirements gathering through selection, deployment, and integration
  • Compliance, Controls & Documentation

  • Establish and maintain robust controls and segregation of duties within order management and billing operations
  • Support audit requirements by preparing documentation and addressing inquiries
  • Develop and maintain documentation for team processes and procedures
  • The expected salary range for this position is :

    Annual Salary : $190,000 - $230,000 USD

    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.

    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.

    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.

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    Order Management • San Francisco, CA, US

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