AI Operations Associate

Nevoya - Hybrid | London, UK - original posting ->
Status
Open
Remote policy
Not stated
Employment type
Full-time
Salary
Not stated
Categories
Transportation
Tech
opsjunior
Source
arbeitnow
First observed
2026-11-03 17:51 UTC
Last seen
2026-11-03 17:51 UTC
Source claims posted
2026-11-03 15:40 UTC
Consecutive misses
0 of 3

What the posting says

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 workflows

Track the KPIs of your operation — load coverage, on-time performance, driver utilization — and use them to improve

What You’ll Bring:

A recent degree or 1–2 years of work experience — high-performing new grads encouraged to apply

AI-native habits: you already use AI as your default tool for learning, research, and producing work

Sharp critical thinking — you spot what’s broken, ask why, and bring a proposed answer

Hungry and coachable: you want direction, feedback, and a steep learning curve

Strong written and verbal communication — you’ll be talking to drivers, customers, and engineers in the same hour

Organized and calm under pressure; comfortable with ambiguity and shifting priorities

No trucking, logistics, or dispatch experience required

Nice to Have:

Internship or early experience in operations, logistics, supply chain, or a fast-moving startup

Comfort with data — spreadsheets, SQL, or light scripting

Spanish language proficiency, a meaningful asset in our operating markets

At Nevoya, we believe diverse teams build better solutions.

We are proud to be an equal opportunity employer and are committed to creating an inclusive and welcoming environment for all employees. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected characteristic.

If you're excited about our mission but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be the right candidate for this or another role.

If you have any other questions please email our Recruiting Team directly @

Quality

Completeness: 45%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #1709217 2026-11-03 17:51 UTC
    Published