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Scale is looking for a Technical Revenue Accounting Manager to join our growing accounting team in a fast-paced, high-growth environment. You will ensure revenue is recorded accurately and on time, support the monthly close, and review contracts both during negotiation and after signature. You will also work on new accounting standards and complex transactions, with room to keep building your technical skills.
The ideal candidate is a detail-oriented, self-motivated team player with strong U.S. GAAP and ASC 606 expertise, a passion for delivering quality results, and a track record of turning technical research into practical solutions.
You will:
- Own revenue recognition: Ensure revenue is booked correctly and on time, and that the company remains compliant with ASC 606
- Contract review: Review standard and non-standard contracts, during negotiation and after signature, to determine the appropriate revenue recognition under U.S. GAAP
- Month-end close: Assist with monthly close activities, including journal entry preparation and review and key account reconciliations
- Technical accounting: Analyze and operationalize complex transactions under U.S. GAAP including revenue, cost to fulfill, and commissions
- Policies and standards: Monitor, assess, and implement new accounting pronouncements applicable to the company, and help draft and maintain the accounting policy library
- Partner cross-functionally: Collaborate with Accounting, Finance, and business stakeholders on revenue metrics, flux analysis, forecasts, and projections (e.g., develop the internally developed software policy with Engineering, analyze commission plans with Sales Ops and Strategy)
- Drive process improvement: Identify and implement process improvements that keep pace with our growth and scale with the business
- External audit: Work with external auditors on revenue and technical accounting matters
Ideally you'd have:
- 5+ years of progressive experience in public accounting, or a combination of public accounting and private industry; Big 4 experience preferred
- Bachelor’s degree in Accounting; CPA license 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 a practical solution
- Ability to prioritize and problem solve in a fast-paced environment
- Excellent problem-solving skills and a high level of attention to detail
- Ability to work in a team and collaborate across different business units
- Self-starter with a strong interest in learning
Nice to haves:
- Experience working in a high-growth startup and public company environments
- Strong Excel / Google Sheets skills
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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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 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, Ernst & Young, 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 [email protected]. 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.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. 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. Please see our privacy policy for additional information.
Skills Required
- 5+ years of progressive experience in public accounting or a combination of public accounting and private industry
- Bachelor’s degree in Accounting
- CPA license
- 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 into practical solutions
- Ability to prioritize and problem-solve in a fast-paced environment
- Excellent problem-solving skills and strong attention to detail
- Ability to collaborate across different business units
- Self-starter with a strong interest in learning
- Big 4 experience
- Experience in a high-growth startup and public company environments
- Strong Excel or Google Sheets skills
Scale AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.
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Healthcare Strength — Company materials and third‑party pages describe comprehensive medical, dental, and vision coverage along with mental‑health services and an EAP. Health insurance is portrayed as strong, with options like HSA/FSA and indications of high premium coverage.
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Leave & Time Off Breadth — Descriptions highlight generous PTO, paid holidays and sick time, bereavement, volunteer time, and role‑dependent flexibility or remote options. This breadth is positioned as part of a supportive time‑off approach, with specifics varying by location.
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Equity Value & Accessibility — Full‑time offers commonly include equity and an ESPP, which can meaningfully lift total compensation, especially in engineering and senior roles. Job postings and compensation snapshots consistently reference base‑plus‑equity packages aligned with competitive AI market pay.
Scale AI Insights
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
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