Analytics Engineer

Pylon•San Francisco, CA

18h

About The Position

At Pylon, we're building the future of B2B Post Sales. We’re building the all-in-one B2B post-sales support platform powered by conversational data and layered with intelligence to help our customers run their operations in real-time. We’re backed by a16z, BCV, General Catalyst, Y Combinator. Currently more than 1000 companies including Linear, Cognition (makers of Devin), Modal Labs, and Incident.io use us everyday to run their support and customer success workflows. You'll also find us on this year's Enterprise Tech 30 List . We’re now looking for our first Analytics Engineer to help us centralize our data and build the foundation for company-wide reporting and insights.

Requirements

You’ve owned analytics or data modeling for a fast-moving SaaS product
You’re fluent in SQL and familiar with modern data stacks (dbt, Snowflake, Fivetran, Looker, etc.)
You can translate ambiguous business questions into structured analysis
You’re motivated by autonomy, high ownership, and fast iteration
You’re in SF (or open to relocating) and want to help shape our data culture from the start

Responsibilities

Own our data warehouse: build and maintain pipelines to unify product, GTM, and customer data
Model product usage, feature adoption, and account activity so teams can self-serve answers
Partner with Sales, Success, and Product to answer questions like: “Which enterprise customers use our AI features most?” “Who are great reference customers by usage and size?”
Create dashboards and metrics that the company can operate on
Help design how Pylon measures success across customers and product