Process Excellence Manager (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Process Excellence Manager (Fleet Operations): Designing and scaling operational systems for global fleet operations with an accent on Lean Six Sigma methodologies and process stability. Focus on reducing waste, standardizing workflows across international sites, and transitioning the organization to a delivery-grade AV test operation.
Location: Hybrid in Sunnyvale, California, USA
Company
is a leading developer of Embodied AI technology creating mapless and hardware-agnostic AI products for automated driving.
What you will do
- Lead end-to-end analysis and documentation of core Fleet Ops workflows using BPMN.
- Drive structured improvement projects using Lean Six Sigma (DMAIC, Kaizen) to increase efficiency and throughput.
- Standardize operations and eliminate non-value-adding activities across global test networks.
- Implement SLAs, SOPs, and RACI matrices to ensure repeatable high-quality delivery.
- Develop KPIs and dashboards using SQL to monitor process performance and identify bottlenecks.
- Collaborate with technical teams to automate repetitive operational tasks.
Requirements
- 5+ years of experience in process improvement or operational excellence in complex environments (tech, robotics, or logistics).
- Certification or equivalent experience in running high-impact continuous improvement initiatives.
- Deep proficiency in workflow mapping, BPMN, and process standardization.
- Strong SQL skills for data analysis and dashboard creation.
- Ability to travel internationally up to 40% of the time.
- Must be based in or able to work from the Sunnyvale office (Hybrid).
Nice to have
- Experience in autonomous systems, robotics, or field operations.
- Knowledge of process mining tools like Celonis or UiPath.
- Experience scaling global, distributed teams.
- Team management or mentoring experience.
Culture & Benefits
- Hybrid working policy combining office collaboration with work-from-home flexibility.
- Core working hours allowing for a flexible individual schedule.
- Commitment to a diverse, fair, and inclusive work environment.
- Opportunity to work on groundbreaking Embodied AI technology.
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