Lead the safe and efficient operation of our autonomous vehicle testing fleet in Tokyo.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
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Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
The Shift Lead at Applied Intuition is responsible for overseeing the daily operations of the autonomous vehicle testing fleet in Tokyo, ensuring that engineering directives are effectively implemented on the ground. This role requires strong operational skills, including shift scheduling and logistics management, along with fluency in both Japanese and English. Ideal candidates will have a background in operations or fleet management, and experience in high-pressure environments. The position is part of a rapidly growing team that emphasizes safety and excellence in the evolving field of autonomous vehicles.
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From the original posting
Applied Intuition entered the Japan market in 2019. The company has rapidly grown and established strategic relationships with major Japanese automotive OEM customers. Based in the Otemachi area, the Tokyo site consists of more than 40 employees who previously come from Google, Mobileye, TIER IV, Woven by Toyota, Tesla and other renowned companies.
We are continuing to look for experienced and motivated talents across the world to come join our Tokyo team! We are open to considering anyone interested in pursuing a career at Applied Intuition Tokyo office.
We are looking for a Shift Lead who will play a crucial role in the safe and efficient operation of our autonomous vehicle (AV) testing fleet in Tokyo. As a bridge between our engineering teams and the contractors who run day-to-day operations, you will make sure that what engineering needs gets executed on the ground. With our fleet expected to double in the next few months, you will also help scale the operation. We move fast and we focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on bringing autonomous vehicles to the road, Applied is the place for you!
Plan and manage daily shifts, including attendance tracking, coverage, vehicle assignments, and route execution built around testing priorities
Lead and support operators during your shift, ensuring work is carried out safely, on plan, and to our production and safety standards
Serve as the first point of escalation for vehicle faults, on-road incidents, and real-time blockers, and coordinate with engineering teams to resolve them
Oversee vehicle health, inspections, and uptime, as well as logistics such as route planning and equipment transport
Monitor deployment execution against testing metrics and summarize outcomes for shift handoffs and for regulatory and compliance needs
Run daily standups and team meetings, set direction for the shift, and mentor operators and mapping specialists
Over time, grow into running remote assistance for the fleet as our operations mature
2+ years of experience in operations, fleet management, logistics, transportation, or a similar shift-based environment
Hands-on experience with shift scheduling and coverage planning, in any industry
Fluency in both Japanese and English
Excellent judgment, decision-making, and problem-solving skills under pressure, with a strong safety mindset
Strong communication and coordination abilities, with experience working across engineering and operations teams
Willingness to work on-site on a Tuesday-Saturday or Sunday-Thursday schedule, covering day (9:00-18:00) or night (20:00-5:00) shifts
Previous experience or strong interest in autonomous vehicles, ADAS, or vehicle testing
Previous experience with fleet management tools, vehicle inspection, or maintenance coordination
Previous experience leading or mentoring a team without formal reporting lines
Previous experience with incident reporting, safety, or regulatory compliance documentation
Previous experience supporting remote operations or monitoring
Standard company text repeated across Applied Intuition's postings is omitted here.