Payroll Specialist at ScaleAI

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Payroll Specialist
San Francisco, CA


Scale AI is seeking a highly motivated Payroll Specialist who can take ownership of all aspects of the payroll function, and help lead the payroll function as we continue to rapidly grow and expand domestically and globally.

The ideal candidate is highly customer focused, has excellent interpersonal and communication skills, and has a demonstrated ability to build cross-functional relationships.  The candidate will have demonstrated experience managing multi-state payrolls and have an excellent understanding of payroll laws and regulations.

This is a great opportunity for someone who is looking to step into a fast paced and rapidly growing environment, and who is excited to help build the payroll function and support the growing needs of the business.

You will:

  • Prepare, process and reconcile a semi-monthly full cycle US exempt payroll for 500+ employees including but not limited to: imputed income, garnishments, benefits, taxes and off-cycle requests while ensuring compliance with Federal, State and local regulations.
  • Prepare process and reconcile a bi-weekly non exempt payroll including but not limited to an accurate review of time card reporting compliant with multiple jurisdiction labor laws, monitor the administration of the electronic timekeeping system, setup each employee, validate changes, and adherence to FLSA, monitor submissions of approved timesheets, ensure valid data content to/from payroll service.
  • Ensure the accuracy of payroll, including but not limited to: base pay, bonuses, equity, compensation, commissions, payroll taxes, employee changes, new hires, 401K, medical leaves, garnishments, H.S.A. and other deductions.
  • Manage workflow to ensure all payroll transactions are processed accurately and timely
  • Prepare monthly payroll journal entries for month end closing cycles
  • Maintain employee confidence and protect payroll operations by keeping information confidential
  • Work closely with the HR team on cross functional projects
  • Properly file and maintain HR and payroll files
  • Resolves payroll discrepancies by collecting and analyzing information
  • Communicate with employees and others in a professional and courteous manner while maintaining strict confidentiality of all information

Ideally you’d have:

  • Bachelor’s Degree from an accredited, four year college or university, or equivalent experience. 
  • Minimum 3 years of Payroll experience at a international company
  • Strong Excel skills
  • Attention to detail and accuracy with the ability to prioritize and work in a fast paced environment that quickly changes
  • Interpersonal (verbal and written) communication skills
  • Organizational, multi-tasking, and prioritizing skills
  • Decision-making, problem-solving, and analytical skills
  • Desire to work in a team environment

Nice to haves:

  • Deep knowledge of the full life cycle of payroll processing
  • Proven experience in implementing and maintaining best in class payroll controls, including in a SOX environment
  • Experience with NetSuite and ADP WFN


The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $88,000 - $105,600. Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. 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.


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 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.

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