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Matchtech

Technical Product Manager

London
£80k – £110k/yr
Posted 2 days ago
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Technical Product Manager

Technical Product Manager (AI product quality +) — London, hybrid | Full-time

No visa sponsorship (must already have UK right to work)

An AI product is only as good as its quality bar. If you love turning “it seems fine” into “we can prove it,” this one’s for you.

I’m hiring a Technical Product Manager for an early-stage AI platform transforming property operations with an intelligent assistant that automates core workflows—communication, compliance tasks, maintenance coordination, and scheduling. Pilot customers are live, and feedback is proving strong as the team scales toward revenue goals in 2026.

What You’ll Own

  • 🧪 Product quality and AI evaluation end to end Define what “good” looks like, measure it, and continually raise the bar.

  • 📊 Nightly evaluation suites, test scenarios, and graders Track pass rates over time to ensure reliability.

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.

  • 🔎 Regression spotting and driving fixes at speed Proactively identify and resolve AI accuracy drift or product gaps.

  • 🛠️ Daily issue triage Distinguish between config/data/user error vs genuine product bugs to accelerate resolution.

  • 🎧 Translating real customer feedback Convert customer conversation insights into validatable scenarios, priorities, and delivery plans.

  • 🗺️ Feature ownership from problem to delivery Own the full lifecycle (PRD → build → validation) of features with technical awareness.

What You’ll Bring

✅ 3–5 years in Product Management (or equivalent experience owning outcomes in partnership with engineering)

🤖 AI-native expertise Use AI tools daily in your professional work—not just experimental exploration.

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🧠 Technical grounding Ability to reason about trade-offs, feasibility, and system limitations.

🧩 Methodical approach to quality Measurable outcome-oriented mindset over subjective signals.

🗣️ Bridge-builder Communicate effectively between customers, stakeholders, and engineering teams.


Bonus points for: ⭐ Hands-on experience in AI evaluation, model testing, or prompt engineering ⭐ Track record in QA-focused Product Management or quality assurance ⭐ Proficiency in tools like Linear, Notion, or Slack ⭐ StartupRepal “build it while shipping” mentality—think early-stage process rigor paired with flexibility.


Interested? Reply “TPM” and I’ll reach out, or message me directly for full details. 🚀

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Skills

Product Management
AI Evaluation
Technical Grounding
Problem Solving
Communication
Regression Spotting
Issue Triage
Feature Ownership

Location

London, England, United Kingdom

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