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Waabi is a Physical AI company founded by AI visionary Raquel Urtasun, leading the development of autonomous transportation technology for commercial trucks and robotaxis. The company is backed by world leaders in AI, automotive, logistics, and deep tech, with offices in Toronto, San Francisco, Dallas, and Pittsburgh.
As Senior Fleet Planner, you will own the operational orchestration of Waabi's vehicle fleet, serving as the connective tissue between vehicles, crews, commercial customers, and internal tooling. This is a high-ownership, high-visibility role at the intersection of logistics, technology, and real-world autonomous operations.
Key Responsibilities:
- Track every vehicle across its full lifecycle—from receiving and build-out through integration, testing, active deployment, and maintenance—knowing location, state, and operational availability.
- Own day-of fleet execution, managing intra-site and inter-site handoffs and serving as the primary point of contact when issues arise, coordinating across vehicles, crews, dispatch, and commercial operations.
- Track crew staffing against operational capacity, monitoring availability and proactively flagging situations requiring adjustments before they become problems.
- Build and report on fleet plans; run fleet planning syncs across hardware, operations, and engineering teams; maintain weekly resource allocation plans and forward-looking capacity forecasts; generate executive-ready analyses surfacing tradeoffs and actionable recommendations.
- Own and evolve Waabi's fleet management tooling by scoping and defining business requirements in partnership with Engineering and Product, driving adoption to replace manual processes, and continuously improving based on operational gaps.
- Connect data across systems, partnering with scheduling, HR systems, and data infrastructure to ensure fleet data flows accurately without manual overhead.
- Document and continuously improve fleet coordination processes as Waabi's fleet, customer base, and operational footprint grow.
- Occasional travel to other operational sites may be required.
Requirements:
- 5+ years of experience in fleet planning, asset management, or logistics coordination supporting Class 8 or autonomous vehicle fleets.
- Strong technical aptitude with experience in fleet management and telematics/ELD platforms, or similar operational systems.
- Demonstrated familiarity with the full asset lifecycle of an autonomous vehicle fleet, including deployment, maintenance, downtime, and operational readiness.
- Demonstrated ability to own recurring resource and capacity planning cycles, including allocation plans and forward-looking capacity forecasts against operational demand, balancing fleet and crew availability and proactively identifying backfill needs.
- Experience running recurring cross-functional meetings, driving decisions with clear owners and dates.
- Strong data fluency with the ability to combine data across systems, analyze operational performance, and identify capacity or availability constraints.
- Demonstrated experience partnering with Engineering and Product to define business requirements and improve or automate operational workflows.
- Strong organizational skills and meticulous attention to detail, including accurate record-keeping across operational systems.
- Passion for self-driving technologies, solving hard problems, and building a culture of safety and operational excellence.
Bonus:
- Working knowledge of DOT and FMCSA regulations, including Hours of Service, DVIR and pre/post-trip inspection requirements, and DOT annual inspections, and how each constrains crew scheduling and asset availability.
- Uses AI tools day to day to plan, analyze, and automate work.
