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 June.
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 Plans took over an hour to build and were out of date within another hour.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
* Own a portfolio of mid-market accounts end-to-end: onboarding, performance, renewal.
* Be on-site three days per week. Build real relationships with planning teams and senior leadership.
* Drive the quality of the AI plans your customers receive. Diagnose issues, work with engineering to fix them. Benchmark: 5%+ efficiency gains within 90 days.
* Stay close to account health. Know how your customers are doing before anyone needs to ask.
* You'll review fleet and user data to understand performance. Then work with our engineering team on solutions to customer problems. No SQL required, but you need to be confident with data analysis.
* Feed customer insight and product friction back to the engineering team in a structured way.
What we're looking for
* Comfortable with regular travel and early depot starts.
* Already using AI tools day-to-day, not just learning about them.
* Experience in operational or field-based customer roles (a strong plus).
* Strong ownership instincts. Proactive, self-directed, high standards.
* Interest in industrial sectors and operational environments.
The package
* Equity
* Performance bonus tied to retention and expansion
* 25 days holiday + birthday off
* Learning and development budget
* Clear path to a leadership role as we scale
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