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 are seeking an experienced Order Management expert to join our Revenue Accounting Team. In this role, you’ll oversee daily order management processing and support our business growth through scaling order management operations and working collaboratively with our Sales, Support, and Billing Engineering teams for accurate and timely provisioning and billing. The ideal candidate is a team player with a solid understanding of the quote to cash cycle and experienced in order management.
Responsibilities:- Provision access for executed contracts in a timely and accurate manner
- Ensure billing is set up according to contract terms
- Work cross functionally to resolve any blockers to timely provisioning due to contract data or system processing issues
- Identify and partner with stakeholders to address any potential areas of improvements during the quote-to-cash cycle
- Assist with contract reviews related to order management data
- Document processes and update them when necessary
- Support testing of new product launches and new system processes as needed
- Support month end close and audit deliverables as needed
- Drive process improvement projects to streamline operations and scale business efficiency
- Bachelor’s degree in accounting or finance (or equivalent experience)
- 5+ years of experience in Billing/Order Management/Quote to Cash
- Experience with subscription and consumption-based business models
- Strong attention to detail and time management skills
- Ability to work independently, prioritize in a fast paced environment, and navigate through evolving processes
- Experience in a lead or mentorship role
- Experience with Stripe, Metronome, NetSuite, CPQ tools, Google Suite
- Experience with private offers on Marketplace platforms
- Operational knowledge of ASC 606
The expected salary range for this position is:
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 differentWe 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.