Senior Revenue Accounting Manager

Posted 19 Days Ago
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San Francisco, CA, USA
In-Office
164K-205K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
Lead the revenue accounting team, ensuring compliance with ASC 606 and U.S. GAAP, manage close activities, provide technical guidance, and collaborate on revenue metrics.
Summary Generated by Built In

Scale AI is seeking a highly motivated Technical Revenue Accounting Senior Manager to join our fast-paced, high-growth accounting team. You will be a key player in ensuring revenue integrity and scalability. Beyond managing the monthly close and contract reviews, you will serve as a technical subject matter expert, architecting solutions for complex transactions and implementing new accounting standards as we continue to scale globally. 

We are looking for a detailed-oriented and self-motivated team player with a desire to learn and is passionate about delivering quality results.

You will:
  • Lead Revenue Accounting Team: Oversee monthly accounting close activities, including the review of complex journal entries and key account reconciliations including the management and development of a small team.
  • Technical Oversight: Ensure strict compliance with ASC 606 and U.S. GAAP; serve as the final word on revenue recognition for both standard and highly bespoke contracts.
  • Strategic Collaboration: Partner with Finance and Strategy teams on revenue metrics, flux analysis, and long-range forecasting.
  • Audit Readiness: Lead the preparation of consolidated financial statements and footnotes; act as a primary point of contact for external auditors for all revenue related contracts and matters including developing footnotes and other financial reported items.
Ideally you'd have:
  • Education: Bachelor’s degree in Accounting; CPA is required.
  • Experience: 7+ years of progressive accounting experience, with a mix of Big 4 public accounting and high-growth industry experience (SaaS preferred).
  • Leadership: 3+ years of experience managing and developing high-performing teams.
  • Technical Rigor: Deep expertise in ASC 606 and the ability to translate complex technical research into actionable operational policies.
  • Agility: A proven track record of problem-solving in a fast-moving, "ambiguity-heavy" environment.
  • Systems Fluency: Experience with enterprise-level ERPs and revenue recognition software.

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:
$163,800$204,750 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 [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.

Top Skills

Asc 606
Enterprise-Level Erps
Revenue Recognition Software
U.S. Gaap
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The Company
San Francisco, CA
523 Employees
Year Founded: 2016

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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