Robotics Quality Lead I

Scale AI
San Francisco, CAPosted 15 April 2026

Tech Stack

Job Description

The Robotics Operations Quality Lead holds primary accountability for the facility’s performance during their assigned shift. This role ensures the seamless integration of human capital, robotic systems, and data integrity. The Shift Lead 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: Organizational Leadership Direct Span of Control: Provide strategic and tactical direction across all roles on the shift including Operations Specialists, Technicians, and Data Collectors. 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. 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 Key Operational Metrics: Maintain full accountability for shift-level performance in Safety, Quality, Productivity, and Cost. 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. 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 Operational Dive-Deeps: Execute analysis of shift performance data. The Shift Lead must demonstrate the ability to identify statistical outliers and performance trends, translating raw data into technical or behavioral insights. 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: Experience: 3+ years in high-volume manufacturing, automated logistics, or technical operations. Significant leadership capacity managing large-scale teams Analytical Expertise: Advanced proficiency in operational data analysis and the use of business intelligence tools to drive informed decision-making. Methodological Rigor: Expert knowledge of Lean Manufacturing principles and standardized problem-solving frameworks. 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. Communication: Exceptional verbal and written communication skills in both English and Spanish, with the ability to present complex operational reports to executive leadership. 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 ... (truncated, view full listing at source)
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