채용
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Learning Budget
•Commuter Benefits
•Healthcare
•401k
•Equity
•Learning
•Commuter
Required Skills
Operations Management
Inventory Management
Team Leadership
Process Improvement
Scale AI is at the forefront of enabling machine learning for advanced robotics systems. We’re looking for a hands-on Collection Space / Workplace Manager to own and optimize our physical collection spaces while driving operational excellence in our on-site workflows.
You’ll lead a small team, manage inventory and layouts, coordinate vendors, and create systems that turn physical chaos into scalable, repeatable operations — all while supporting the delivery of high-quality datasets for robotics platforms.
You will:
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Plan, maintain, and evolve collection spaces and workflows
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Lead a small on-site team (3–6 team members) responsible for setup, teardown, and resets
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Manage inventory: tracking, storage, audits, and buy vs. dispose decisions
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Coordinate with vendors to support operations and space management
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Drive operational processes for data creation, quality, and delivery
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Improve processes and tools; run pilots, tests, and iterate on solutions
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Build reporting and feedback loops to inform leadership and cross-functional teams
Ideally you'd have:
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3–5+ years in facilities, warehouse operations, workplace operations, supply chain, or related roles
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Experience managing inventory, vendors, and on-site teams
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Strong organizational instincts and ability to design scalable systems
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Experience improving processes and running pilots or experiments
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Hands-on, action-oriented mindset with a bias toward execution
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Familiarity with basic EHS practices in logistics or warehouse environments
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5 days in office
Nice to haves:
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Undergraduate degree in Engineering, Economics, or analytics-heavy field; graduate degree preferred
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Experience with SQL, Python, or Mode Notepad scripting
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Consulting or supply chain/operations experience
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Prior experience mentoring or managing a team or have lead a project
**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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