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Technical Product Manager

London
£120k – £160k/yr
Posted about 15 hours ago
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Technical Product Manager, AI Systems — AI-native productivity, stealth

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

TL;DR

  • Founding-team TPM role at a well-funded stealth AI company
  • Product: AI-native productivity — starting with email, expanding into notes, tasks, calendar
  • Sits at the intersection of ML, engineering, and user experience
  • US$100M initial funding, internally backed, no VC pressure
  • Cash + meaningful founding-team equity
  • Fully remote

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

  • Define how the AI actually behaves — model behaviour, system behaviour, user experience — end to end.
  • Make the real trade-offs between quality, latency, cost, reliability, safety and UX.
  • Work directly with ML and engineering on system design and evaluation.
  • Build and evolve the evaluation frameworks: offline metrics, online experiments, human feedback.
  • Set the quality bar, identify failure modes, and make sure the system behaves predictably and recovers gracefully when it doesn't.
  • Own product quality end to end.

The bar

Read this before you DM.

  • 6+ years shipping complex, technical products end to end
  • Hands-on experience with LLM-based products in production — not just theory
  • Strong CS fundamentals and system design instincts — you read technical designs and challenge them
  • Real experience with model evaluation, experimentation, prompting or AI system iteration
  • Comfortable being the person who reasons about hallucinations, failure modes, and how the system degrades under load
  • Zero-to-one shipping experience — you know what a pre-launch product actually feels like

Get help with your application

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Engineering background is a strong plus. What matters most is the ability to reason deeply about both AI systems and product outcomes.

Who this isn't for

  • Roadmap-managers who ship through committee.
  • PMs whose AI experience is limited to writing prompts in ChatGPT.
  • Anyone who needs stable specs and clear briefs before they can start.

This is a hands-on, technical, founder-mode role.

If the bar above doesn't quite match where you are today, no worries — save your energy for the role that does.

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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Skills

Product Management
Large Language Models
System Design
Model Evaluation
Prompting
AI System Iteration
Zero-to-one Shipping
Technical Product Management
User Experience Design
ML Engineering
Experimentation
Technical Design Analysis

Location

London, England, United Kingdom

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