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Burns Sheehan

GTM Engineer

London
£70k – £100k/yr
Posted about 24 hours ago
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GTM Engineer - AI Native Scale Up

📍 Location: London, 4 days a week in the office (WFH Wednesdays)

💸 Salary: £70,000–£100,000 + equity

📈 Stage: Early stage and moving fast, live product with paying customers, an enterprise pilot going live within weeks

⚙️ Technical Environment: Python, TypeScript, LLMs and agentic workflows, Claude and Claude Code

We're partnered with a fast growing AI native company as they build out their go to market engine from scratch.

The product itself is a genuine step change for a traditionally slow moving, relationship driven UK industry. It's live, it's generating revenue, and adoption numbers are strong. This is a real AI colleague that customers are learning to trust and rely on daily.

The role is shaped as an engineering seat pointed directly at revenue. You'll be building the systems the commercial team runs on, starting with the data and automation behind sales, then extending into marketing and beyond as the business scales. This is all about building AI backed solutions to support the GTM function of the business.

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.

You'll sit next to the people who use what you build, adopting your solutions to their needs. Watch the real workflow, shipping and iterating as you learn user behaviour, then harden what earns its place. LLMs are the default tool. This is a small, AI augmented team already running much of its week through agentic workflows, and you'll be working in Claude and Claude Code daily, wiring tools together over MCP and APIs, writing code where code is the right answer.

Requirements

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  • Ability to write production code in Python, TypeScript or similar - you define what is built and in the appropriate language. You're comfortable with APIs and data, and able to query a database yourself
  • 2-5 years of experience, from any background (engineering, technical product, data, consulting, startup or your own projects) as long as the skills are there
  • A strong technical degree (engineering, maths, computer science, physics or similar) from a Russell Group university or international equivalent
  • LLMs in everything you do, and something built well beyond a prompt: agents, tool use, retrieval, evaluation or a workflow that runs unattended
  • Commercial instinct: you know a funnel, and can tell when a metric moving actually matters
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Skills

Python
TypeScript
LLMs
Agentic Workflows
API Integration
Database Querying
Data Automation
Commercial Instinct
Retrieval
Evaluation

Location

London, England, United Kingdom

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