Job Description

Scale is at the forefront of enabling Artificial Intelligence across multiple industries, including generative AI, self-driving cars, eCommerce, natural language processing, and more. As a Revenue Operations Manager, you will be responsible for ensuring that Scale has clear and steady visibility of revenue across a rapidly growing list of products and accounts. The Revenue Operations team acts as an important connection between Operations, Go-to-Market, Analytics, and Finance to ensure that all closed deals are implemented correctly in Scale's systems and that the right tools and processes are developed internally. Generative AI is growing rapidly, and we need help ensuring revenue for this area is tracked and billed correctly. An ideal candidate will be comfortable handling complexity in a fast-paced environment, have a high level of attention to detail, and be interested in building out new sustainable internal processes. This is a perfect opportunity for a self-starter interested in expanding their analytical and operational toolkit within the context of Artificial Intelligence. This role will have responsibilities across: Overseeing and ensuring the accurate tracking of all customer-facing work across all of our Generative AI customers Utilizing strong analytical and SQL skills to investigate root causes of revenue discrepancies through large data reconciliations, proposing solutions, and collaborating with relevant teams to implement corrective actions Contributing to the development of more automated and scalable consumption tracking solutions. Collaborating with cross-functional teams to streamline processes, identify automation opportunities, and implement tools to enhance efficiency Leading collaborative work across team members and cross-functional partners from operations and engineering responsible for daily support of all Gen AI revenue and billing You'd ideally have (but relevant experience can take different forms): 3-5 years of professional experience in an analytical role, top-tier consulting firm, or finance An undergraduate and/or graduate degree with an analytics-heavy major (e.g., STEM, economics, computer science, etc.) Comfort working in ambiguity in a fast-paced environment Excellent communication skills, both written and verbal, with the ability to present complex concepts and insights to stakeholders at various levels Strong quantitative skills and proficiency in SQL The ability to think from first principles and iterate quickly to deliver results Compensation packages at Scale for eligible roles include: base salary, equity, and benefits. The salary range for locations in San Francisco, New York, Seattle is $110,000—$135,000 USD. Additional benefits include health, dental, vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may also include other benefits such as a commuter stipend. Note: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. About Us: At Scale, we believe the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to accelerate this transition across industries. Our products power advanced LLMs, generative models, and computer vision models, trusted by companies like OpenAI, Meta, Microsoft, and government agencies such as the U.S. Army and Air Force. We are expanding our team to further develop AI applications. We are an inclusive workplace committed to equal opportunity and providing reasonable accommodations for applicants with disabilities. For assistance, contact us at accommodations@scale.com. We also adhere to the US Department of Labor's Pay Transparency and Privacy policies. #J-18808-Ljbffr Scale AI, Inc.

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