Tellis is an AI-native product data enrichment platform for ecommerce brands.
Large product catalogues leak revenue. Turning a spec into a live product page takes weeks. Most teams only have bandwidth to polish their top 20% of SKUs, and thin or messy data across the rest costs brands millions a year in lost sales, returns, and compliance issues. With the rise of agentic commerce, this problem is now urgent: if merchants' product data isn't AI-ready, they become invisible to shopping agents like ChatGPT Shopping and Google AI Mode.
Tellis is a team of AI agents that sits on top of a merchant's stack, turning siloed shopper signals into enriched, validated product data at scale, pushed straight into the client's CMS or PIM. We're building the AI shopping context layer that makes every product discoverable and conversion-ready for the AI shopping era.
We're a VC-backed, pre-seed startup with paying customers in the UK, founded by ex-Google and second-time founders.
You'll be an early engineer on the team that turns messy merchant catalogues into enriched, validated product data.
The job has two halves: working out what a merchant's catalogue needs and where its opportunities are, then doing the engineering that turns that understanding into product — first as customisation for one account, and after that as a feature every account gets. Your clients tell you what to build, based on what you put in front of them.
Every new account brings a different data source, a business need, a different category tree, a different definition of good copy.
What you’d do:
This is the way into owning the integrations and opportunities layer at Tellis. As the book of business grows, the first product engineer on it becomes the person who turns one-off technical asks into a repeatable product engine.