GTM Engineer

Burns Sheehan; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Burns Sheehan in London is seeking an ambitious software engineer for an AI-native go-to-market platform. The role is 4 days in the office with Wednesdays at home, focusing on data + automation for sales and marketing, with an enterprise pilot live soon.

You'll work with Python and TypeScript, building AI-powered tools using LLMs, Claude and Claude Code, and integrating APIs. The team is small but revenue-driven, with real users and measurable impact on funnel metrics.

Qualifications

• 2–5 years of experience in engineering, technical product, data, consulting, startup or related projects.
• Strong technical degree from a Russell Group university or international equivalent.
• Experience with Python/TypeScript and APIs; comfortable querying databases.
• Familiarity with LLMs and agentic workflows beyond prompt-based usage.
• Commercial instinct and ability to understand funnel metrics.

Responsibilities

• Build data and automation for the GTM function (sales, marketing, etc.).
• Wiring tools together over MCP and APIs; ship and iterate with real users.
• Collaborate with revenue-focused teams to improve funnel metrics and outcomes.
• Work with Claude and Claude Code to implement AI-powered solutions.

Skills

Python

TypeScript

LLMs

Agentic workflows

Claude

Claude Code

Education

Russell Group degree

Job description

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

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.

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 many 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

• 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