Jobs
Benefits & Perks
•Healthcare
•Dental
•Vision
•401(k)
•Equity
•Learning Budget
•Unlimited PTO
•Commuter Benefits
•Healthcare
•401k
•Equity
•Learning
•Unlimited Pto
•Commuter
Required Skills
Financial Analysis
Excel
Project Management
Data Analysis
We are building out the Finance team to help make data-driven and financially sound decisions for Scale. The Finance team drives strategic, financial, and operational decisions by partnering with the leadership team to make critical decisions across Scale.
The Finance team is responsible for owning the company’s budget, driving quarterly and annual planning processes, allocating the company’s resources efficiently, and performing financial analyses to drive key decisions. In this role, you will have a unique opportunity to work closely
Finance leadership across a variety of strategic initiatives and cross functional finance workstreams. The ideal candidate will have strong technical skills to support recommendations coupled with strong interpersonal skills to manage various stakeholders. We hope you'll join us!
You will:
-
Collaborate with cross-functional teams to evaluate business cases and financial impact of strategic initiatives.
-
Help prepare board and investor presentation materials, and executive summaries on financial performance and outlook.
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Monitor key performance indicators, financial metrics, and cash flow performance
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Spearhead the long-range planning process in partnership with the business unit finance teams and other key stakeholders.
Ideally, you'd have:
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3-4 years of financial analysis experience working directly in a Corporate Finance, Strategic Finance
-
1-2 years of investment banking experience
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Demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement
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Strong knowledge of Google Suite, and MS Office (Excel, Word, PowerPoint); expert Excel modeling skills
Nice to haves:
-
A Bachelor’s degree with a major in finance or accounting
-
Experience in SQL and Business Intelligence tools a plus
-
Experience with Anaplan and/or Adaptive Insights a plus
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.
The base salary range for this full-time position in the location of San Francisco is:$147,000—$183,750 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 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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About Scale AI

Scale AI
Series CAccelerate the development of AI applications.
501-1,000
Employees
San Francisco
Headquarters
$7.3B
Valuation
Reviews
3.5
2 reviews
Work Life Balance
1.5
Compensation
3.5
Culture
2.0
Career
3.0
Management
1.5
25%
Recommend to a Friend
Pros
Famous in tech world
Good for career transitions
Offers equity after 1 year
Cons
Extremely long working hours (80+ per week)
Unprofessional recruiting process
Poor communication during hiring
Salary Ranges
0 data points
Junior/L3
L3
Junior/L3 · Data Scientist L3
0 reports
$123,049
total / year
Base
-
Stock
-
Bonus
-
$104,592
$141,506
Interview Experience
5 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 60%
Negative 20%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Final Round
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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