About FLORA
We are building the first creative operating system: an infinite canvas designed for the generative computing paradigm. We’re a team of ~45 focused on elevating professional craft, backed by tier-one investors including Redpoint, Menlo Ventures, and a16z, as well as founders like Guillermo Rauch and Justin Kan. Our platform is already the choice of world-class creative powerhouses like Pentagram, Lionsgate, and Nike.
About the role
We'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 do
Audit existing PostHog data, events, and user behaviors
Design and implement data models with solid metadata collection
Stand up data infrastructure, warehousing, and processing pipelines
Evaluate and select core technologies
Build executive-level BI dashboards that drive product and growth decisions
We're looking for
6+ 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 judgment
Deep 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 scratch
Strong product instincts and real business curiosity; you know what to measure, what's vanity, and how to frame findings for stakeholders
A hypothesis-driven approach; you ask questions about the business, not just the query
Comfort in hypergrowth; you can build fast and build for scale
Availability to work in-person 5 days a week
Nice to have
Python proficiency (preferred, though we're flexible on other languages)
TypeScript; we're a full-stack TS shop and you'll collaborate closely with engineers
Deep PostHog experience (cohorts, funnels, feature flags, warehouse sync)
Experience with activation models, conversion rate analysis, and A/B testing
Background in SaaS/web app analytics, or adjacent fields like supply chain or finance
Experience with creative tools or product-led growth companies
Skills Required
- 6+ years in data engineering or analytics engineering
- Deep SQL fluency and strong fundamentals in at least 1 modern data platform
- Hands-on infrastructure experience
- Strong product instincts and business curiosity
- Availability to work in-person 5 days a week
What We Do
Embedding VC is an early-stage venture fund backing Generative AI startups. All our investors are current and former builders and operators. We believe in the mission to develop AGI, and we are at the onset of a new computing super cycle, fundamentally driven by AI innovations.
