Scale is at the forefront of enabling Artificial Intelligence across multiple industries, including self driving cars, eCommerce, natural language processing, and more. As a Manager in the Revenue Operations team, you will be responsible for ensuring that Scale has clear and steady tracking of customer revenue across a rapidly growing list of products and accounts. The Revenue Operations team acts as an important connective tissue 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 to continually track and improve Scale’s revenue performance. RLHF (reinforced learning with human feedback) is one of the fastest-growing areas in AI development and in Scale and we have a need for help ensuring revenue for this area is correctly tracked and billed.

An ideal candidate will be comfortable handling complexity in a fast-paced environment and 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.

This role reports to the Manager of Revenue Operations and will have responsibilities across:

• Oversee and ensure the accurate tracking of worked hours and billing across all of our RLHF customers
• Manage 1-2 members of the team who are responsible for supporting all of RLHF billing and revenue operations
• Implement new process controls and systematic solutions to revenue tracking for this new area of the business. Have ownership of the revenue numbers that get reported to Accounting and billed to the customer.
• Utilize strong analytical and SQL skills to investigate root cause revenue discrepancies, propose solutions, and collaborate with relevant teams to implement corrective actions
• Contribute to the development of more automated and scalable revenue tracking solutions. Collaborate with cross-functional teams to streamline processes, identify areas for automation, and implement tools and systems to enhance efficiency.

You'd ideally have (but relevant experience can take different forms):

• 5-7 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 in English, 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. Comfort with SQL.
• The ability to think from first principles and iterate quickly to deliver results

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 EEO poster and EEO poster supplement for additional information.

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