ConnectHQ
Founding AI / Data Software Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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
Reasons to use Rodeo
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.
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.
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.
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:
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- 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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location