Hilbert is a scalable, data science-first growth infra that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks months-long decision cycles to minutes. Backed by a16z.
About the role
The challenge isn't just moving rows; it’s ensuring "Reasoning Consistency." You are responsible for making sure our AI produces the same high-quality insights regardless of where the data resides. The Dual-Track Challenge: We are building a system that can either pipe data into our Clickhouse stack using Dagster and Airbyte , or execute "Zero-Extract" transformations natively in the customer's warehouse. You’ll need to master both worlds.
What they're looking for
- The Pragmatic Polyglot: You are equally comfortable optimizing a Clickhouse query as you are writing native Snowpark (Snowflake) or BigQuery SQL and comfortable implementing data orchestration scripts using python
- The Data Ontologist: You understand that an AI needs more than just a table, it needs context . You have the discipline to define the "meaning" behind the data
- The "Translator": You can earn technical trust with a customer's Data Architect in minutes, extracting the logic of custom tables and mapping them to Hilbert reasoning engine
- The "Pilot" Mindset: You are excited to use and improve AI agents that handle the heavy lifting of data discovery and pipeline scaffolding
More about this role
Hilbert is a scalable, data science-first growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks months-long decision cycles to minutes.
From Fortune 10 enterprises to beloved brands like FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert.
At Hilbert we shorten "months" to "minutes." We build the AI Growth Engine that Fortune 500 enterprises and iconic B2C brands use to navigate their revenue drivers in real-time.
We are expanding our deployment model. Whether we are ingesting data into our high-performance Clickhouse managed warehouse or implementing Warehouse-Native logic directly within a customer’s own data warehouse solution like Snowflake or BigQuery, the goal is the same: providing our AI Agents with a perfect, high-fidelity view of the business. We need a Forward Deployed Data Engineer who can architect these bridges in any environment.
The challenge isn't just moving rows; it’s ensuring "Reasoning Consistency." You are responsible for making sure our AI produces the same high-quality insights regardless of where the...
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