Customer Success Manager London (Camden) | Hybrid (Field + Office) Mid-level: £50,000 – £70,000 | Senior: £75,000 - £90,000
Dayjob builds AI agents for industrial logistics. We're backed by Y Combinator, live with 12 paying customers, and on track for $1M ARR by the end of May.
Construction and waste logistics is one of the largest, least-digitised sectors of the economy. Our first AI agent replaces manual vehicle routing with real-time optimisation. There is no dominant AI-native player in this space. We intend to be that company.
WHO WE ARE
George (CEO) spent years at Deliveroo scaling their grocery division to £100M GMV. Fred (CTO) has an Engineering Science degree from Oxford and built AI systems at Deloitte and Capgemini. We initially started building a recycling ERP, but after spending mornings at customer depots watching planners manually drag jobs onto trucks, we changed course. Plans took over an hour to build and were out of date within another hour. We knew software wasn't the problem. We built the AI agent we wished existed.
THE ROLE
We're hiring a Customer Success Manager to own a portfolio of mid-market accounts and help build the CS function from the ground up.
Our customers run fleets of 10 to 100+ trucks. A 5% improvement in routing efficiency is worth hundreds of thousands of pounds a year to them. You are central to making that happen.
This is a field/office split role. Three days a week onsite at customer depots across the UK, the rest of the time at our Camden office. You'll work closely with our Head of Deployment, with a clear path to a leadership role as we scale.
The people who thrive here are genuinely energised by being onsite with customers, take full ownership of their accounts, and want to build something from scratch rather than inherit a playbook.
In your first 30 days you'll shadow 5 depot visits and take ownership of your first accounts. By day 60 you'll be running the weekly efficiency review for your full portfolio.
WHAT YOU'LL DO
WHAT WE'RE LOOKING FOR
THE PACKAGE
Dayjob builds autonomous AI workers for transport operations. Our scheduling agent plugs into existing ERPs and continuously re-optimises routes in real time - handling new jobs, driver changes, and exceptions automatically. Customers in waste management see 8%+ efficiency gains from day one.
Equity
0.1% - 0.25%
Location
London, England, GB
Experience
3+ years
