Revenue Operations Manager

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.

You will:

• 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.

Ideally you'd have:

• 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

The base salary range for this full-time position in our hub location of San Francisco is 168,000-201,000. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.