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Founding CTO

London
£145k – £200k/yr
Posted 1 day ago
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Founding CTO — AI-native productivity, stealth

Fully remote, UK-based candidates. London HQ likely but not yet fixed.

TL;DR

Founding CTO role at a well-funded stealth AI company

  • Product: AI-native productivity — starting with email, expanding into notes, tasks, calendar
  • US$100M initial funding, internally backed, no VC pressure
  • Cash + meaningful founding-team equity
  • Fully remote, hybrid potentially
  • You'll build the engineering org from zero across multiple global hubs

The play

Email, calendar, notes, tasks. The tools 5 billion people run their lives on. None of them are AI-native. Every attempt so far has been a bolt-on — a copilot button in the corner, a summary at the top of the thread. The company is building the opposite: the proactive layer underneath, that reads context, runs long workflows, completes real tasks, and asks before it acts. First product is an AI-native email app. Cut the four hours a day the average knowledge worker spends in their inbox down to thirty minutes. Email first. Productivity suite next.

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.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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.

The role, first 12 months

  • Own the technical direction across model integration, data pipelines, distributed systems, and product architecture.
  • Hire and shape the engineering org across global hubs.
  • Set the engineering culture, standards and hiring bar.
  • Balance shipping the email product fast with building for what comes after it.

Who this is for

Someone who has led high-performing engineering teams, thinks clearly about complex systems, and is genuinely energised by early-stage ambiguity. Not a corporate CTO looking for a title upgrade — a builder.

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The bar — Read this before you DM

  • 10+ years engineering, 5+ leading teams at scale
  • Shipped and operated a production system that served millions of users
  • Built and hired an engineering org from small to 30+, across multiple locations
  • Deep hands-on background in distributed systems, data pipelines, or applied ML infrastructure
  • Comfortable being the most technical person in the room and the one setting the culture

If you're not hitting most of this, this isn't the one — save your energy for the role that is.

The rest

Everything else — who they are, who's behind it, the detail on comp and equity — is a call.

DM me if this is you, or if you know the person it should be.

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Model Integration
Data Pipelines
Distributed Systems
Product Architecture
Engineering Leadership
Applied ML Infrastructure
Technical Strategy
Hiring and Scaling
Engineering Culture
System Design

Location

London, England, United Kingdom

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