Snowflake
1 open Forward Deployed Engineer role at Snowflake. Curated with comp bands.
Comp on the board: $230K–$390K TC.
On the board since Jun 2026 · still hiring
Our take
Why Snowflake
Databricks' mirror-image FDE seat — remote-friendly, and sitting on top of half the enterprise data in America.
- FDE type
- True forward-deployed
- Travel
- Remote-first
- Comp
- Competitive
- Stage
- Public
A good fit if you're…
- Data engineers who want to stay hands-on with real customer warehouses
- People who want frontier-adjacent AI work without leaving the enterprise-data world
- Candidates who value remote flexibility over a founding-era gamble
What they do
Snowflake runs the cloud data platform that a huge share of large enterprises already use as their warehouse. Cortex AI is its bet on turning that data gravity into an AI story — running LLM and ML workloads directly against data customers have already centralized on Snowflake.
What “forward deployed” means here
The Cortex AI FDE embeds with enterprise accounts to get AI features shipped against their own Snowflake data — closer to a true forward-deployed motion than a pre-sales SE role, but grounded in an existing platform rather than a blank-slate integration. The data is already there; your job is turning it into production AI the customer trusts.
Comp & leveling
The board shows $230K–$390K TC — competitive for a public company and clearly a notch below the frontier-lab bands, but paired with remote flexibility that the labs rarely offer. Public-company RSUs mean less lottery-ticket upside than a startup, more predictability.
Growth signals
This is Snowflake's direct answer to Databricks' FDE push, and the two are locked in a data-platform arms race over who owns enterprise AI workloads. A well-capitalized public company standing up an FDE motion signals the role is a durable line item, not an experiment.
Analysis updated 2026-09-14
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