Founding Data Engineer

About FLORAWe build creative tools for the new creative class: an intelligent canvas with top AI models built for professional craft. We're a team of ~40 backed by Redpoint Ventures, Menlo Ventures, a16z and other notable investors including Guillermo Rauch and Justin Kan. Our customers include Pentagram, Lionsgate, and Nike.About the roleWe're hiring a Senior or Staff Data Engineer to build FLORA's data function from scratch. You'd be the first data hire, working directly with the CTO and Head of Product to define what data means here: how we capture it, store it, analyze it, and turn it into decisions.You'll wire up our warehousing and pipelines, pin down the metrics that actually matter (activation moments, power users, engagement quality), and build dashboards that get used. Our PostHog telemetry is live. The broader data model is yours to design.You'll work closely with our growth engineering team: you design the tracking model, they instrument against it. Vendor decisions are yours too, picking BI tooling, making the infrastructure calls that'll hold as we scale.What you'll doAudit existing PostHog data, events, and user behaviorsDesign and implement data models with solid metadata collectionStand up data infrastructure, warehousing, and processing pipelinesEvaluate and select core technologiesBuild executive-level BI dashboards that drive product and growth decisionsWe're looking for6+ years in data engineering or analytics engineering (former people managers returning to IC work are strongly encouraged)Proven ability to work on your own; you're the first data hire and we're counting on your judgmentDeep SQL fluency and strong fundamentals in at least 1 modern data platform (Snowflake, BigQuery, Databricks, ClickHouse, MotherDuck etc.)Hands-on infrastructure experience: you've set up pipelines, defined schemas, made tooling decisions from scratchStrong product instincts and real business curiosity; you know what to measure, what's vanity, and how to frame findings for stakeholdersA hypothesis-driven approach; you ask questions about the business, not just the queryComfort in hypergrowth; you can build fast and build for scaleAvailability to work in-person 5 days a weekNice to havePython proficiency (preferred, though we're flexible on other languages)TypeScript; we're a full-stack TS shop and you'll collaborate closely with engineersDeep PostHog experience (cohorts, funnels, feature flags, warehouse sync)Experience with activation models, conversion rate analysis, and A/B testingBackground in SaaS/web app analytics, or adjacent fields like supply chain or financeExperience with creative tools or product-led growth companies