FA Company Spotlight: Preql
Preql is dropping a seismic shift in how finance teams see data, and it lands like a beat‑drop in a jazz club, clean, sharp, unforgettable. From scattered ERP, CRM, payroll, SaaS systems into a governed metrics layer, all without writing SQL or hiring a data engineer.
When Gabi Steele and Leah Weiss met at WeWork, they watched users wait weeks for basic metrics. Weeks. That’s the kind of friction that makes a finance leader grind teeth. They spun off as Data Culture consultants to break the bottleneck, and then realized they were onto something bigger. In 2022, they launched Preql from Brooklyn. Gabi had already pivoted from The Washington Post to teach machines how to see data. Leah had scaled WeWork’s data org to 150 people and lectured at Harvard Business School. Now they’re co‑CEOs, inclusive design champions, data whisperers.
Preql promises “metrics you can depend on.” It’s not tagline fluff. It’s a mission statement. With over 1,200 pre‑built connectors to Snowflake, BigQuery and others, finance teams define KPIs via drag‑and‑drop. Preql generates SQL behind the scenes. Automated reconciliation catches variances pre‑close. Typical go‑lives? Four weeks or less. And yes, data never leaves your own warehouse. SOC 2, GDPR, locked down.
Backed by a $7 million seed round in May 2022 led by Bessemer Venture Partners, angels from Fivetran, Looker, dbt Labs, Firebolt and Mode gave nods of respect. Public customers from MLB Network to Business Insider report 70–100 staff‑hours saved weekly and board reporting that happens in minutes instead of days. That’s impact you can measure in sleep saved, error avoided.
What Preql is doing is positioning itself as the prequel to AI‑ready finance. You can’t feed generative‑AI if your metrics are chaotic. Preql builds that clean foundation. It’s not generic BI. It’s a finance‑first semantic layer built for real metrics, MRR, COGS, burn rate, so finance teams can actually trust what they use to build models, forecast, or tell stories.
Preql’s pipeline moves fast, R&D in Tel Aviv, HQ in Brooklyn, remote‑first ethos, inclusive hiring. They value low‑ego collaboration, mental‑health support, and creating pathways for nontraditional talent. And now they’re hiring, Senior Product Manager roles in analytics workflows and finance data. Engineers, analysts, GTM pros who can thrive in 0→1 environments, come prove you belong.
This is the story of a women‑led finance data startup that saw a wall and built a door. A rapid‑deploy, no‑custody, high‑ROTI platform that moves fast and earns trust. Gabi Steele and Leah Weiss built Preql not as another tool, but as connective tissue between finance intent and execution.
If your FP&A or RevOps team is drowning in spreadsheets, reconciliation fire drills, or just plain confusion, this is your moment. Reach out, explore Preql’s open roles, follow the founders for AI‑ready finance insights, or partner to automate your close. This is the prequel your finance function has been waiting for.
https://www.preql.com/careers
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