Insight Global
Director
8+ years of experience in a technical field and 5+ years in senior leadership managing engineering, product, or operational teams. Proven track record of scaling complex, 24/7 operations involving hardware, software, and human processes (e.g., manufacturing, data centers, R&D labs). Deep expertise in robotics, including sensor modalities (LiDAR, stereo cameras, IMUs) and robotics software stacks (e.g., ROS).
Responsibilities
Own the vision and strategy for the Robotics Lab, building and leading a high‑performance team of engineers, operators, and technicians.
Architect and implement a 24/7 operational framework for data generation, including developing processes, KPIs, automation, and quality control systems to ensure maximum uptime and data integrity.
Act as the primary technical partner for robotics clients, translating their requirements into production targets and ensuring delivery exceeds expectations.
Drive the hardware and software development plans, including robotics hardware, sensors, data pipelines, and quality tools, integrating seamlessly into the platform.
Expand physical facilities, procure hardware, automate workflows, and plan workforce growth to meet increasing customer demand.
Collaborate with cross‑functional teams to ensure smooth operation and continuous improvement of the robotics data generation process.
Establish KPIs, monitoring systems, and automation to maintain high efficiency, uptime, and data quality.
Continuously evaluate new technologies, methodologies, and processes to improve the robotics data pipeline and operational effectiveness.
Qualifications
BS or MS in Robotics, Mechanical Engineering, Computer Science, or related technical field.
8+ years in a technical field and 5+ years in senior leadership roles managing engineering, product, or operational teams.
Exceptional customer‑facing skills; experience acting as a trusted technical advisor.
Strong strategic thinker, capable of troubleshooting hardware, planning long‑term initiatives, and presenting to executive teams.
Plusses
Experience building or managing data collection/generation systems for machine learning.
Background in specific robotics verticals such as autonomous vehicles, logistics automation, or manufacturing.
Familiarity with the machine learning data lifecycle, including annotation, data quality, and model evaluation.
Experience leading multidisciplinary teams in high‑capacity, operational environments.
Day‑to‑Day Our client, Labelbox, builds essential infrastructure powering breakthrough AI models for research labs and enterprises. You will lead and support a team of eight (with plans to grow), driving the robotics pipeline from concept to production.
Employment Full‑time | Director | Management & Manufacturing | Staffing and Recruiting industry.
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Responsibilities
Own the vision and strategy for the Robotics Lab, building and leading a high‑performance team of engineers, operators, and technicians.
Architect and implement a 24/7 operational framework for data generation, including developing processes, KPIs, automation, and quality control systems to ensure maximum uptime and data integrity.
Act as the primary technical partner for robotics clients, translating their requirements into production targets and ensuring delivery exceeds expectations.
Drive the hardware and software development plans, including robotics hardware, sensors, data pipelines, and quality tools, integrating seamlessly into the platform.
Expand physical facilities, procure hardware, automate workflows, and plan workforce growth to meet increasing customer demand.
Collaborate with cross‑functional teams to ensure smooth operation and continuous improvement of the robotics data generation process.
Establish KPIs, monitoring systems, and automation to maintain high efficiency, uptime, and data quality.
Continuously evaluate new technologies, methodologies, and processes to improve the robotics data pipeline and operational effectiveness.
Qualifications
BS or MS in Robotics, Mechanical Engineering, Computer Science, or related technical field.
8+ years in a technical field and 5+ years in senior leadership roles managing engineering, product, or operational teams.
Exceptional customer‑facing skills; experience acting as a trusted technical advisor.
Strong strategic thinker, capable of troubleshooting hardware, planning long‑term initiatives, and presenting to executive teams.
Plusses
Experience building or managing data collection/generation systems for machine learning.
Background in specific robotics verticals such as autonomous vehicles, logistics automation, or manufacturing.
Familiarity with the machine learning data lifecycle, including annotation, data quality, and model evaluation.
Experience leading multidisciplinary teams in high‑capacity, operational environments.
Day‑to‑Day Our client, Labelbox, builds essential infrastructure powering breakthrough AI models for research labs and enterprises. You will lead and support a team of eight (with plans to grow), driving the robotics pipeline from concept to production.
Employment Full‑time | Director | Management & Manufacturing | Staffing and Recruiting industry.
#J-18808-Ljbffr