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 will be interested in building out new sustainable internal processes. This is the perfect opportunity for a self-starter who is interested in expanding their analytical and operational toolkit within the context of Artificial Intelligence.

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 work 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 the willingness to dig into data. Strong SQL experience is a must.
• The ability to think from first principles and iterate quickly to deliver results
  PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

ABOUT US:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world’s most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor’s Know Your Rights poster for additional information.
We comply with the United States Department of Labor’s Pay Transparency provision.
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• Overseeing and ensuring the accurate tracking of all customer-facing work across all of our Generative AI customers
• Utilize strong analytical and SQL skills to investigate root cause revenue discrepancies through performing large data reconciliations, propose solutions, and collaborate with relevant teams to implement corrective actions
• Contribute to the development of more automated and scalable consumption tracking solutions. Collaborate with cross-functional teams to streamline processes, identify areas for automation, and implement tools and systems to enhance efficiency.
• Lead collaborative work across multiple members of the team and cross functional partners from operations and engineering who are responsible for day-to-day support of all of Gen AI revenue and billing