Head of Autonomous Carrier Operations

Lanesurf; San Francisco (CA); Vor Ort; USD 450.000 - 500.000; Vollzeit

Benefits dieser Stelle

Free DoorDash vouchers for everyday me

Medical, dental, and vision insurance

Zusammenfassung

Lanesurf is building an AI-driven freight brokerage platform in San Francisco. We are seeking a top-performing executive to train and manage the AI carrier sales floor, teaching it to read loads, negotiate, and book millions of loads across lanes.

You will define lane strategies, supervise a team of humans and AI agents, and push the system to achieve 90%+ vetted bids per lane. The role blends strategic judgment with hands-on experimentation in a fast-moving startup environment.

Qualifikationen

• Experience running carrier sales or capacity at a real brokerage.
• Ability to read a lane and decide how you'd cover it.

Aufgaben

• Train the AI carrier sales floor to match the judgment and style of top human reps.
• Define lane strategies and push the AI to cover 90%+ of lanes with vetted bids.
• Lead a team of humans and AI agents, pulling calls, tagging outcomes, and running tests.
• Monitor lane benchmarks and continuously improve how the agent sources, times, and prices a lane.

Jobbeschreibung

• Free DoorDash vouchers for everyday meals

Compensation

• $450K-$500K base
• Founding equity
• Medical, dental, and vision insurance
• Free DoorDash vouchers for everyday meals

The best AI carrier sales floor in the world doesn't exist yet. You're going to train it.

Training agents will be one of the largest job categories in five years, and it's already happening. The best AI labs are spending billions on it, because the bottleneck in AI is no longer compute, it's human expertise. The models are good enough now that the only thing they're missing is the judgment the best people in a field carry in their heads.

Freight is one of the biggest jobs left to do this for. Anyone can blast the same rate to 200 carriers. That's not carrier sales, and you know it. The good ones win before the first call, knowing which four to call instead of two hundred, and when to hold instead of paying up.

Only a few hundred people in the country are truly elite at this. We want to partner with the best of them and turn the way they think into the way millions of loads get covered across the freight market.

Where we are

Our AI books freight today, live and in production for some of the largest logistics companies in the US, including multiple Top 100 brokers.

On our internal lane benchmark it already gets at least one vetted bid on 60 to 80% of loads, depending on the lane. We're hiring the person who gets that to 90%+ across the board.

It calls carriers, negotiates, and covers loads on its own. It can work a lane, reach carriers at the right time, and price against the market. It's good. The job is to make it as good as the best rep you've ever worked with, then let it loose to book millions of loads, like hundreds of thousands of your best reps working at once.

Over a million loads move via trucks in the US every day and even in 2026 they are still booked through endless negotiations over calls and emails.

Lanesurf solves this in minutes with an army of AI agents that find nearby empty trucks, call/email them in parallel, negotiate rates, and find the best-priced truck available.

Live demo of our AI speaking to 96 trucks in real time and booking a shipment in 10 minutes -

https://www.linkedin.com/feed/update/urn:li:activity:7394069447327555584

The real work: teaching the agent to read a load

The hard part is already built. The agent is live, moving tens of thousands of loads for some of the biggest names in freight, and it holds its own against most reps on calls and emails. What we're missing is someone genuinely elite at this to push it further and get it covering just about any load, 90%+ of the time

That's where you come in. You know the things that don't fit in a training manual, like how to read a lane, where capacity is going before the market reacts, and whether a guy actually has a truck or the rate that looks too good is about to fall apart. You work with the agent until it makes those calls the way you would.

It's the same setup the best AI labs use to get their models better. You decide how it plays each lane, watch how it does against real freight, and keep pushing until it's as sharp as you are. It gets measured against the actual market, and the standard it's chasing is you.

You'll have your own team for this, people and AI agents that pull the calls, tag what happened, and run the tests. They handle the legwork so you can focus on the judgment calls only you can make.

How we measure it

We track how the agent is doing with a lane benchmark. Instead of guessing whether it's improving, we run it on a fixed set of real lanes and check whether it actually lands a truck.

These are the kinds of lanes that fill a broker's day, a mix of equipment, markets, and lead times before pickup. On each one we look at the usual numbers like coverage, time to cover, buy vs. market, and fall-off. The main one is how often the agent gets at least one vetted bid on a load.

That's running 60 to 80% right now, depending on the lane, and we want it above 90% everywhere. Whenever you change how the agent sources, times, or prices a lane, you'll see in the benchmark within a few days whether it helped.

That's the job. Get that number up, and keep it there. Everything you teach the agent is locked in for good, working every load, every day, forever.

You'll be a great fit if

You've run carrier sales or capacity at a real brokerage, and you can look at a load, know how you'd cover it, and explain why. The explanation is the actual bar, and it's harder than it sounds.

Team

We're a very lean team. That includes operators who built carrier sales floors at Echo, Ryder, Transfix, and Dardini, with advisors from the founding team of Uber Freight. On the technical side, we've built AI systems for Fortune 500s at Booz & Co. and done ML research at Caltech, Rice, Waterloo, and Monash.

We're backed by General Catalyst, Y Combinator, and angels like Jawed Karim (founder of YouTube).

About the Interview

• 30 mins with Founders
• 60 mins Lane Simulation Assignment
• In-Person Work Trial
• Offer