Preql AI
1 open Forward Deployed Engineer role at Preql AI. Curated with comp bands.
On the board since Aug 2026 · still hiring
Our take
Why Preql AI
A no-code semantic layer for finance and ops teams — the FDE seat is about making a customer's numbers reconcile without adding to their data-engineering backlog.
- FDE type
- True forward-deployed
- Travel
- Medium
- Comp
- Undisclosed
- Stage
- Early-stage
A good fit if you're…
- Engineers who like finance-data, metrics-definition, and reconciliation problems
- People who want to embed hands-on with enterprise finance and ops teams from a hybrid NYC base
- Candidates comfortable that comp isn't posted and has to be negotiated up front
- Those drawn to a small, founder-led, data-native team over a large FDE bench
The company and its founders
Preql is a Brooklyn-based no-code semantic-layer platform co-founded in 2021 by Gabi Steele (CEO) and Leah Weiss, who met at WeWork — where Steele led the data team — and went on to run a data-engineering consultancy together before launching Preql publicly in May 2023. The pitch is to let revenue, finance, and ops leaders define and own their own metrics without waiting on a data-engineering queue.
What “forward deployed” means here
The Finance Solutions FDE is a textbook embed-and-automate seat: you sit with the customer's finance team, learn exactly where their numbers break, and build the reconciliation and reporting automation that fixes it — all around the existing ERP rather than through a rip-and-replace. Deep domain proximity to messy financial data is the whole job, not a phase of it, so the seat rewards patience with a CFO org's reality.
The product you'd be deploying
Preql sits between enterprise data sources and reporting or AI tools as a no-code semantic layer: business users define metrics in plain language or point-and-click, and Preql's agents clean formatting and reconcile mismatched IDs across systems. Unlike black-box tools, it generates transparent SQL a data team can audit. Sacra pegs typical annual contracts in the $50K–$200K range, so deployments skew enterprise rather than self-serve.
Comp & leveling: nothing posted
The board lists the Finance Solutions FDE as “Not disclosed,” so comp is negotiable and unbenchmarked. As a company running off a single seed round with no later raise announced, expect the equity slice to matter and the cash band to be a live negotiation. Pin down level, base, and equity early — the finance-data specialization gives you leverage, but only if you make the ask concrete.
Funding & traction
Preql raised a $7M seed in May 2022 led by Bessemer Venture Partners, with Felicis and angels from Fivetran, Looker, dbt Labs, Firebolt, and Mode. No later round is public, so the team is deploying lean off that seed. Sacra names Coca-Cola and Hearst among reference customers — evidence the product can land enterprise finance logos even from a small base.
Who thrives, and who bounces
Thrives: engineers energized by unglamorous reconciliation work, comfortable in a hybrid-NYC seat, and fluent talking to finance and ops stakeholders. Bounces: anyone wanting a large FDE peer group, posted comp bands, or fully-remote pure-IC product work — this is a small, founder-led, customer-facing seat where the finance domain is the product and the delivery is the deliverable.
Questions candidates ask
What would I actually build as Preql's Finance Solutions FDE?
You embed with a customer's finance team and build reconciliation and reporting automation on top of Preql's semantic layer — cleaning data, mapping mismatched IDs across systems, and defining metrics — so their numbers come out clean without new ERP work.
Is comp public for this role?
No. The board lists it as “Not disclosed,” so treat base, level, and equity as a negotiation. Preql is an early, seed-stage company, so the equity component is likely meaningful relative to cash.
How big and well-funded is Preql?
Small and founder-led. Preql raised a $7M seed in 2022 (Bessemer, Felicis) and hasn't announced a round since, so it runs lean. Sacra lists Coca-Cola and Hearst as reference customers.
Is this a “true” FDE role or a solutions/support seat?
True forward-deployed: you write the automation and own the customer's data outcome, not tickets. The domain (finance and reconciliation) is narrow and deep, so success depends on getting comfortable inside a finance org's messy reality.
Analysis updated 2026-09-30
Open roles at Preql AI
Compare Preql AI
Others in the same tier
Free forever. Unsubscribe anytime.