Jobs
Required skills
Python
SQL
Go
Scale’s Generative AI business unit is less than one year old and is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression.
You will:
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Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market)
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Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives
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Own the execution of our data labeling operations for strategic projects
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Give regular progress updates to Scale’s executive team
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Work on some of the most impactful problems at the company
Ideally, you’d have:
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Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python).
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2+ years of experience leading a team, developing product or operational processes, or as a SWE.
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Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus).
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Entrepreneurial experience and mindset - you are excited about building things from scratch
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:$112,000—$189,000 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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About Scale AI

Scale AI
Series CAccelerate the development of AI applications.
501-1,000
Employees
San Francisco
Headquarters
$7.3B
Valuation
Reviews
3.7
10 reviews
Work-life balance
2.8
Compensation
3.5
Culture
3.9
Career
3.2
Management
2.6
65%
Recommend to a friend
Pros
Innovative and interesting work/projects
Supportive team and colleagues
Learning environment and mentorship opportunities
Cons
Fast-paced and stressful environment
Poor management and lack of direction
Long hours and heavy workload
Salary Ranges
3 data points
Junior/L3
L3
Junior/L3 · Data Scientist L3
0 reports
$123,049
total per 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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