AI Operations Associate, California

🇺🇸 San Francisco, California
Posted 1 week ago
Expires August 17, 2026

ABOUT NEVOYA:

Nevoya is North America's leading next-generation electric trucking carrier, transforming logistics through AI-native operations and relentless customer focus. The company builds and uses proprietary technology to deliver zero-emissions carrier services to Fortune 500 shippers with superior economics and service to legacy diesel operators. The company has operations in California and Texas, and is backed by globally-renowned investors including Lowercarbon Capital.

ABOUT THE ROLE:

This is a foundational hire. You will do different aspects of dispatching in trucking — without needing any trucking experience. You’ll keep real freight moving for real customers: assigning loads, communicating with drivers, handling exceptions, and solving the problems of the day.

The reason this works is you. You are AI-native — AI is your default way of researching, troubleshooting, and getting work done — and you have the critical thinking to notice when the playbook is wrong and the initiative to propose the fix. You’ll work directly with engineering and product to automate the repetitive parts of the job, so the role keeps getting smarter.

You’ll get a lot of direction, coaching, and ownership early. Do this well and the role is a launchpad: people who build the operational foundation here will grow into bigger roles across the company.

WHAT YOU’LL DO:

- Run daily dispatch execution from our playbook: load assignment, driver communication, check-calls, and exception handling

- Keep loads covered and customers informed, escalating with judgment when something can’t wait

- Use AI tools daily to research, troubleshoot, draft, analyze, and automate your own work

- Improve the playbook as you go — document what works, flag what doesn’t, and ship a better process every week

- Call out problems early and come with proposed solutions, not just escalations

- Partner with engineering and product to turn recurring manual work into automated workfl...

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