Revenue Operations Analyst

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 Analyst in the Revenue Operations team, 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.

An ideal candidate will be comfortable handling complexity in a fast-paced environment, have an extremely high level of attention to detail, and is interested in driving our billing process.

This is the perfect opportunity for a gritty self-starter who is interested in broadening their analytical and operational skill set.

You Will

Drive some of our most critical revenue and billing operational processes by creating and maintaining in-system customer data (e.

g. SKUs), optimizing billing processes, and managing customer accounts

• Identify and provide feedback to continuously improve and optimize the billing process.
• Utilize strong analytical skills to investigate, and root cause revenue discrepancies, and propose solutions.
• Collaborate cross-functionally across finance, engineering, accounting, and analytics teams to ensure the accuracy of all billing data.

Ideally, You'd Have

• Industry experience (1-2 years) or Associate / Specialist experience in a related field such as business operations, finance, or accounting.
• An undergraduate degree in business, information systems or finance.
• Keen eye for detail
• Comfort working in ambiguity in a fast-paced work environment.
• Excellent communication skills, both written and verbal, with the ability to present insights to stakeholders at various levels.
• Strong quantitative skills and the willingness to dig into data.
• The ability to think from first principles and iterate quickly to deliver results.
• An entrepreneurial spirit, comfortable with navigating ambiguity, and possessing a strong sense of grit.

This role is critical in ensuring that Scale AI not only maintains its current growth momentum but also accelerates it to capture an even larger market share in the AI space.

The ideal candidate will bring a wealth of experience, a deep understanding of growth mechanisms, and a track record of delivering results in high-stakes environments.

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 :

$74,400-$89,280 USD

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 affirmative action employer and 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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We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws.

Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.