
Grid Operations Manager
Primary stack
Nice to have's
Job description
About the Position
Grid Operations Manager
San Jose, CA
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
We are seeking a proactive, highly organized Manager to oversee our R&D facility for robot use case testing. In this role, you will lead the end-to-end lifecycle of workcell builds - from initial space design to installation and ongoing maintenance - while maintaining an efficient, safe, and collaborative building environment for various teams at Figure including engineers and operations.
Responsibilities
- Facility & Space Operations: Oversee daily operations of the R&D facility, keeping the space organized, functional, and optimized for multiple cross-functional teams working simultaneously.
- Workcell Project Management: Lead R&D workcell builds from design phase to full assembly, commissioning, and preventive maintenance.
- Space Planning: Strategically map out building floor plans to accommodate incoming equipment, temporary builds, and ongoing operational workflows.
Requirements
- 5+ years of experience in space planning, industrial facility management, or hardware project management.
- Experience using CAD software for 2D/3D facility layout, workcell placement, and spatial planning.
- Demonstrated track record of managing technical buildouts or workcell projects from concept to completion.
- Strong written and verbal communication skills with an ability to keep diverse teams aligned.
- Low-ego, team-first collaborative style with a pragmatic, "can-do" approach to daily problem-solving.
Bonus Qualifications
- Electrical Systems Knowledge: Practical understanding of building electrical infrastructure, power load requirements, and drop planning for industrial machinery/workcells.
- Hands-On Fabrication Skills: Practical experience with custom fabrication, mechanical assembly, prototyping, or working with shop tools to build physical test rigs or workcells.
We Offer
- Salary: The US base salary range for this full-time position is $130,000 to $180,000 per year.
- Benefits: The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
About the Company
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
More at Label Your Data
All 1589 roles
AI Platform Engineer, Infrastructure
Label Your Data · United States

AI Infrastructure Security Engineer
Label Your Data · United States

Product Manager
Label Your Data · United States

Machine Learning Engineer, Applied AI - Deployed
Label Your Data · United Arab Emirates