Revenue Operations Manager

Scale AI is seeking a highly motivated Revenue Operations Manager to join our fast-paced team. This individual will be at the intersection of Finance, Engineering, and Sales, gaining exposure to complex consumption-based billing models and the operational infrastructure of the Generative AI industry. In this role, you will have the unique opportunity to build sustainable, scalable systems that directly enable Scale’s rapid growth. We are looking for a technically-minded, self-starting problem solver who is passionate about using data to drive operational excellence.

You will:

• Oversee 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.

Ideally you'd have:

• 3+ years of professional experience in an analytical role top-tier public accounting firm, consulting firm, or tech company.
• An undergraduate and/or graduate degree with an analytics-heavy major (e.g., STEM, economics, computer science, accounting, etc.).
• Experience working with financial data and reconciling large data sets.
• 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.

Compensation packages at Scale for eligible roles 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. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. 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.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$112,000—$140,000 USD

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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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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