招聘
Scale AI is seeking a highly motivated Manager, Technical Accounting and Reporting to join our growing accounting team. This individual will be exposed to new accounting standards and advanced accounting research topics on complex transactions that will allow for continued learning and development. In this role, you will have the opportunity to work in a dynamic, fast-paced, high-growth environment.
We are looking for a detail-oriented, self-motivated team player who is passionate about delivering quality results.
You will:
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Analyze and operationalize complex transactions in accordance with U.S. GAAP, including those related to stock-based compensation, business combinations, leases, capitalized software, and equity.
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Collaborate cross-functionally with internal stakeholders throughout the organization (e.g., legal, finance, corporate accounting) and external stakeholders (e.g., auditors, valuation specialists).
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Develop and maintain Scale’s accounting policies in alignment with U.S. GAAP and evolving business needs.
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Prepare consolidated financial statements and related footnotes for audit.
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Support monthly accounting process, including preparation or review of journal entries related to technical accounting transactions.
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Monitor, assess, and implement new accounting pronouncements applicable to the company.
Ideally you’d have:
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Bachelor’s degree with a major in accounting; CPA heavily preferred.
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5+ years of progressive experience in public accounting (or a combination of public accounting and private industry experience); Big 4 experience preferred.
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In-depth knowledge of U.S. GAAP and financial reporting requirements, including the ability to research and apply technical guidance.
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Ability to prioritize tasks and solve problems in a fast-paced environment.
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Proven ability to communicate complex accounting concepts clearly.
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Experience developing and operationalizing accounting policies and procedures.
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Excellent problem-solving skills and high level of attention to detail.
Nice to haves:
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Experience working in a high-growth startup environment.
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Experience with our key systems (Net Suite, Workiva).
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:$134,400—$168,000 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 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. *
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.
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关于Scale AI

Scale AI
Series CAccelerate the development of AI applications.
501-1,000
员工数
San Francisco
总部位置
$7.3B
企业估值
评价
3.7
10条评价
工作生活平衡
2.8
薪酬
3.5
企业文化
3.9
职业发展
3.2
管理层
2.6
65%
推荐给朋友
优点
Innovative and interesting work/projects
Supportive team and colleagues
Learning environment and mentorship opportunities
缺点
Fast-paced and stressful environment
Poor management and lack of direction
Long hours and heavy workload
薪资范围
3个数据点
Junior/L3
L3
Junior/L3 · Data Scientist L3
0份报告
$123,049
年薪总额
基本工资
-
股票
-
奖金
-
$104,592
$141,506
面试经验
5次面试
难度
3.2
/ 5
时长
14-28周
录用率
20%
体验
正面 20%
中性 60%
负面 20%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Final Round
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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