About the role
As our first data hire, you will build the layer of metric definitions the company runs on. Every number we act on gets one definition, matched to its source and readable by both people and AI agents.
You will own the numbers behind the product, margin and our development pipeline, building on the customer and revenue data our GTM Systems Engineer owns. You will work with engineering, sales, customer success and leadership, make sure each team has numbers it trusts, and be clear about how certain each number is.
What you'll do
- Build the metric layer that brings every number we act on into one place, matched to its source and readable by people and agents
- Define the basics everyone relies on, from who counts as staff, a test account, a firm or a customer to our product tracking plan and PostHog content
- Own margin and product usage metrics, including gross margin per customer
- Build activation and usage cohorts, flow metrics for our development pipeline and ratios between sales and customer success staff
- Build a query library so people and agents can answer their own questions
What we're looking for
- Strong SQL and data modelling, including a shared layer of metric definitions
- Experience with product analytics tools such as PostHog or Amplitude
- Working knowledge of TypeScript
- Business judgement: you know which numbers drive which decisions, SaaS metrics such as net revenue retention, gross margin and cohorts, and engineering flow metrics
- Clear communication with engineers, sales, customer success and leadership
Nice to have
- Python
- Statistics, and the habit of saying how sure a number is