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Dayjob

Customer Success Manager

London
£50k – £90k/yr
Posted about 7 hours ago
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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 Plans took over an hour to build and were out of date within another hour.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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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 onsite 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.
  • Review fleet and user data to understand performance, then work with engineering on solutions. No SQL required, but you need to be confident with data.
  • Feed customer insight and product friction back to the engineering team in a structured way.

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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

  • £50,000 - £90,000 OTE (Mid-level: £50–70k | Senior: £75–90k)
  • 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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Skills

Customer Success
AI Tools
Data Analysis
Operational Roles
Field-Based Roles
Relationship Building
Problem Solving
Performance Review
Account Management
Efficiency Improvement
Proactive
Self-Directed
High Standards
Industrial Sectors
Operational Environments

Location

London, England, United Kingdom

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