Who We AreZefir is building an AI autopilot for home sales in Europe, starting in France: an AI agent runs the entire sale and purchase journey end-to-end, orchestrating local brokers, portals, buyers, and documents.
Backed by over $55 million from top-tier investors like Sequoia Capital, we're committed to accelerating life changes for millions of current and future European homeowners.
An AI agent that runs a property transaction end to end only works if the data underneath it is available, reliable and governed.
That is the job.
Why this role existsThis is the first dedicated data hire in years.
The foundations run, the steering is up to you.
While BigQuery already houses most of our data, we still lack key Growth data and a cohesive data governance framework.
We need unified definitions, a canonical schema, and a robust semantic layer, enabling Growth, Finance, Ops and Product to self-serve insights efficiently and reliably.
Today the stack holds because individuals across Ops, Growth, Finance and Engineering compensate locally.
They learned the quirks and built workarounds.
It works, but it is fragile: KPIs drift between tools, tracking breaks silently, costs escalate, and nobody owns the translation between raw engineering data and decision-ready truth.
You will be the single accountable owner of that layer.
Not a support function, not a ticketing desk, not a BI factory.
What you will ownCanonical models and metric definitions.
A documented semantic layer with canonical entities (Buyer, Seller, Asset, Agent) and Bronze / Silver / Gold layers.
Clear contracts between what Engineering exposes and what each function consumes, so that KPI debates are aligned on the same metric.
Self-serve enablement.
The submerged part of the iceberg: clean models, consistent BI primitives, row- and column-level security, so Ops, Growth, Finance and Account Managers build their own dashboards without compromising on accuracy.
Analytics and tracking governance.
The global event taxonomy.