About the job
About FLORA
At FLORA, we are revolutionizing the creative landscape by providing innovative tools tailored for the modern creative class. Our intelligent canvas integrates cutting-edge AI models designed for professional craftsmanship. With a passionate team of approximately 40 individuals, we are proudly backed by leading investors such as Redpoint Ventures, Menlo Ventures, a16z, and notable figures like Guillermo Rauch and Justin Kan. Our esteemed clientele includes industry giants like Pentagram, Lionsgate, and Nike.
About the Role
We are seeking a Founding Data Engineer to establish FLORA's data function from the ground up. As our first data hire, you will collaborate closely with the CTO and Head of Product to define our data strategy—encompassing data capture, storage, analysis, and decision-making processes.
Your responsibilities will include developing our data warehousing and pipelines, identifying key metrics that truly matter (such as activation moments, power users, and engagement quality), and creating impactful dashboards. You will have ownership of our PostHog telemetry and will design the broader data model.
You will work hand-in-hand with our growth engineering team: while you design the tracking model, they will implement it. Additionally, you will be responsible for vendor selections, including BI tooling and infrastructure decisions critical for our growth.
What You'll Do
Conduct audits of existing PostHog data, events, and user behaviors.
Design and implement robust data models with comprehensive metadata collection.
Establish data infrastructure, including warehousing and processing pipelines.
Evaluate and select essential technologies for our data ecosystem.
Create executive-level BI dashboards that inform product and growth strategies.
What We're Looking For
6+ years of experience in data engineering or analytics engineering (candidates with managerial experience transitioning back to individual contributor roles are strongly encouraged).
Demonstrated capacity to work independently; as our first data hire, we value your judgment.
Proficiency in SQL and strong foundational knowledge of at least one modern data platform (e.g., Snowflake, BigQuery, Databricks, ClickHouse, MotherDuck).
Hands-on experience with infrastructure: you have built pipelines, defined schemas, and made foundational tooling decisions.
Strong instincts for product development and genuine curiosity about business; you know what metrics are meaningful and how to communicate insights to stakeholders.
A hypothesis-driven mindset; you ask insightful questions about the business beyond just the technical aspects.

