GTM Engineer Intern | AI & Growth

What You’ll Do

GTM Acquisition

Build systems to identify, research, enrich and prioritise companies and decision-makers

Build and improve outbound workflows across email, LinkedIn and other channels

Use AI for account research, personalisation, qualification and follow-ups

Identify signals and data that help us find higher-intent prospects

Build systems to capture, enrich, score and route inbound leads

Explore and test new inbound acquisition opportunities across search, content and other channels

Continuously improve targeting, messaging and acquisition workflows based on results

Research & Product Discovery

Conduct deep research across markets, industries, products, competitors and emerging technologies

Identify customer pain points, unmet needs and behavioural patterns that can inform new product ideas and GTM opportunities

Research new product categories, use cases and market opportunities before we decide what to build

Turn fragmented information from customers, competitors, communities and market data into clear insights and actionable recommendations

GTM Infrastructure, AI & Automation

Connect CRM, enrichment, outbound, analytics, databases and other parts of the GTM stack

Build workflows using APIs, webhooks, agents and automation systems

Build AI agents and workflows for research, enrichment, qualification and personalisation

Work with Python, JavaScript, SQL and other tools where required

Build scrapers, data pipelines and lightweight internal tools

Build and iterate landing pages, lead capture flows and conversion journeys

Set up tracking, analytics and attribution across acquisition funnels

Work with outbound infrastructure including domains, inboxes and email deliverability

Prototype and ship quickly using AI-assisted development tools

Experiments & Analytics

Track acquisition funnels from first touch to lead, meeting, opportunity and revenue

Build dashboards and reporting around GTM performance

Analyse which ICPs, channels, signals, messages and landing pages perform best

Identify bottlenecks across the funnel

Design and run growth experiments

Use performance data to decide what to improve, scale or stop

Who You Are

Currently pursuing or recently completed a degree in engineering, computer science or another technical discipline

You enjoy building things and care about the business outcome they create

Curious about how companies acquire customers and grow

Strong at researching unfamiliar topics and turning large amounts of information into clear conclusions

Comfortable with APIs, webhooks, JSON and connecting different software systems

Comfortable working with Python, JavaScript, SQL or similar technical tools

Comfortable working with data, spreadsheets, databases and APIs

Extremely comfortable using AI tools such as ChatGPT, Claude, Codex or Gemini

Comfortable with ambiguity and figuring things out without a detailed playbook

Fast learner with a strong bias towards shipping

Most importantly, you build things.

Show Us Something You’ve Built.

It could be an AI agent, MCP integration, scraper, Chrome extension, internal tool, side project, website, data pipeline, app, automation, or simply something weird you built because you wanted to see if you could.

We care considerably more about evidence that you can build and think than your CGPA or previous job titles.

Good to Have

Experience with any of the following is a good to have:

AI agents

MCPs

Agentic workflows

LLM APIs

Clay

Apollo

LinkedIn Sales Navigator

Instantly / Smartlead

HubSpot / Pipedrive

Google Analytics / PostHog

Python / JavaScript / SQL

Supabase / PostgreSQL

Git / GitHub

Apify / scraping tools

AI-assisted development / vibe coding

What You’ll Get

Direct mentorship from the founder, with no layers or bureaucracy

Immediate ownership of GTM problems for StackBack.ai

Exposure to other AI, SaaS and enterprise products being built at U.Labs

The opportunity to work at the intersection of engineering, AI, sales and growth

Real problems to solve instead of hypothetical intern assignments

Ownership of systems and experiments that directly impact pipeline and revenue