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The Robotics Operations Manager holds primary accountability for the facility’s performance during their assigned shift. Managing an organization of up to 100 personnel, this role ensures the seamless integration of human capital, robotic systems, and data integrity. The Manager is responsible for driving excellence across key operational metrics while fostering a high-performance culture rooted in professional development and continuous process improvement.
You will:
- Large-Scale Organizational Leadership
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Direct Span of Control: Provide strategic and tactical direction to a shift organization of 100 people, including Operations Supervisors, Robotics Technicians, and Data Collection Associates.
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Employee Experience & Advocacy: Serve as the guardian of the workplace experience. Proactively identify the demands and requirements of the shift staff, transforming feedback into actionable initiatives that enhance operational ergonomics, engagement, and overall workplace satisfaction.
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Mentorship: Utilize structured
1: 1 coaching sessions as the primary mechanism to discuss career path, provide performance feedback, and prepare career paths for operators and supervisors.
- Operational Excellence & Metric Accountability
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Key Operational Metrics: Maintain full accountability for shift-level performance in Safety, Quality, Productivity, and Cost.
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Technical Stability: Partner with the Robotics Technical team to ensure maximum equipment uptime. Serve as the primary escalation point for any operational disruptions, ensuring rapid resolution to maintain data collection targets.
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Resource Optimization: Oversee complex labor planning and headcount allocation, ensuring that all team members are effectively deployed against the site's daily objectives.
- Advanced Data Analysis & Problem Solving
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Operational Dive-Deeps: Execute analysis of shift performance data. The Operations Manager must demonstrate the ability to identify statistical outliers and performance trends, translating raw data into technical or behavioral insights.
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Root Cause Methodology: Lead formal Root Cause Analysis (RCA) processes (e.g., 5-Whys, Fishbone) to address complex operational variances and implement preventive measures to ensure long-term stability.
- Stakeholder Collaboration
- Cross-Functional Synergy: Collaborate daily with Quality Management, Engineering, and on-site Maintenance teams to synchronize efforts. Facilitate formal shift handovers to ensure the precise transfer of critical information and operational status between leadership teams.
Ideally, you’d have:
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Experience:6+ years in high-volume manufacturing, automated logistics, or technical operations. A minimum of3 years in a significant leadership capacity managing large-scale teams (50+ individuals) is required.
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Analytical Expertise: Advanced proficiency in operational data analysis and the use of business intelligence tools to drive informed decision-making.
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Methodological Rigor: Expert knowledge of Lean Manufacturing principles and standardized problem-solving frameworks.
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Education: Bachelor’s degree in Industrial Engineering, Robotics, Mechanical/Electrical Engineering, or a related technical field; alternatively, an equivalent combination of education and extensive industry experience will be considered.
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Communication: Exceptional verbal and written communication skills in both English and Spanish, with the ability to present complex operational reports to executive leadership.
Nice to haves:
The ideal candidate is a seasoned operational professional with a proven track record of leading large, diverse organizations within technology-driven environments. We are seeking an analytical leader who balances a rigorous commitment to operational KPIs with a human-centric
**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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