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Scale AI

Supplies AI training data and builds AI apps

Technical Revenue Accounting Manager

Financial AccountingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 5 years of progressive experience in public accounting, or a combination of public accounting and private industry.
  • A CPA license is required.
  • Strong working knowledge of U.S. GAAP and ASC 606, including review of non-standard contracts.
  • Strong analytical and research skills, with the ability to convert technical research and interpretation into practical solutions.
  • Ability to prioritize and solve problems in a fast-paced environment.
  • High level of attention to detail.
  • Ability to work in a team and collaborate across different business units.
  • A self-starter with a strong interest in learning.

Responsibilities

  • Ensure revenue is recorded correctly and on time and that the company remains compliant with ASC 606.
  • Review standard and non-standard contracts during negotiation and after signature to determine appropriate revenue recognition under U.S. GAAP.
  • Assist with monthly close activities, including journal entry preparation and review and key account reconciliations.
  • Analyze and operationalize complex transactions under U.S. GAAP, including revenue, cost to fulfill, and commissions.
  • Monitor, assess, and implement new accounting pronouncements applicable to the company, and help draft and maintain the accounting policy library.
  • Collaborate with Accounting, Finance, and business stakeholders on revenue metrics, flux analysis, forecasts, and projections, including developing the internally developed software policy with Engineering and analyzing commission plans with Sales Operations and Strategy.
  • Identify and implement process improvements that keep pace with company growth and scale with the business.
  • Work with external auditors on revenue and technical accounting matters.

Desired Qualifications

  • Big 4 experience is preferred.
  • Experience working in high-growth startup and public company environments.
  • Strong Excel and Google Sheets skills.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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