Founding AI / Data Software Engineer

Founding AI / Data Software Engineer

Location: UK, Europe or USA preferred

Type: Early-stage / equity-led

Company: Connect Growth OS

Website: getgrowthos.net

About Connect Growth OS

Connect Growth OS is building a marketing decision intelligence platform that helps CMOs understand what is driving revenue, where their next £1 of marketing budget should go, and what action they should take next.

Our attribution engine already combines Shapley and Markov modelling, and we are now building the wider platform around it, including data ingestion, marginal ROAS, response curves, budget optimisation, scenario planning and an AI Analyst.

We are looking for a strong hands-on engineer to work closely with our Chief Data Scientist and founding team.

The Role

You will help turn our modelling work into a scalable product.

Initial priorities will include:

• Building data pipelines and integrations
• Connecting platforms such as GA4, Google Ads, Meta, HubSpot and Salesforce
• Developing a common marketing data model
• Productionising Shapley and Markov attribution
• Supporting marginal ROAS and response-curve modelling
• Building backend services and APIs
• Helping develop our AI Analyst
• Improving testing, monitoring, deployment and scalability

What We’re Looking For

You will ideally have experience across several of the following:

• Python
• Backend software engineering
• Data engineering
• SQL and databases
• REST APIs
• ETL / ELT pipelines
• AWS or another major cloud platform
• API integrations and OAuth
• Git/GitHub
• Production software development

AI experience would be a strong advantage, particularly:

• OpenAI, Anthropic, Gemini or similar APIs
• RAG
• Tool calling
• Agentic AI workflows
• LLM application development

Experience with marketing technology, attribution, MMM, Bayesian modelling or optimisation would also be useful, but is not essential.

What Matters Most

We are looking for someone who:

• Can build, not just advise
• Is comfortable in an early-stage environment
• Can turn data science concepts into working product features
• Thinks carefully about data quality and reliability
• Can work closely with a senior data scientist
• Is comfortable taking ownership
• Has a genuine interest in practical AI

Why Join?

This is an opportunity to join at a very early stage and have meaningful influence over the product and technical architecture.

We are building towards a simple but ambitious goal:

Help a CMO understand where their next £1 should go, explain why, model the likely outcome and ultimately help execute the decision.

Compensation

This is initially an equity-led opportunity, with the potential to develop into a paid and/or full-time role as we raise investment and grow revenue.

If you’re interested, please apply with a short introduction, your LinkedIn/GitHub profile, and examples of relevant products or systems you’ve built.