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RIDGE AI
AI-native embedded analytics for B2B SaaS, browser-native dashboards and conversational AI data agents deployable in hours, not months
Last verified August 15, 2026 · Updated daily
What RIDGE AI is building
Every B2B SaaS product eventually needs to show its customers what is happening with their data inside the product. Usage analytics. Performance dashboards. ROI metrics for the customer success team to cite during renewals. The standard approach is to build these dashboards custom, which diverts engineering for weeks or months, produces something that is fragile, hard to update, and never quite what the customer actually wanted. The alternative is an embedded analytics vendor like Looker Embedded or Tableau Embedded, which require extensive integration work, carry heavy licensing costs, and produce dashboards that are interactive enough to be pretty but not fast enough to be genuinely analytical. Ridge solves this differently. The platform is built on Jeff Heer's open-source Mosaic framework, which uses DuckDB running natively in the browser and WebAssembly to process data directly on the client side rather than on a server. The practical consequence: sub-second interactivity on datasets with millions of rows, at no cloud compute cost to the software company embedding the dashboard. Teams integrate with Ridge and ship an interactive, customer-facing dashboard in hours. On top of the dashboard, Ridge adds an AI data agent that lets customers ask follow-up questions in natural language and get immediate answers. The combined product is what Ridge calls a "ridge", a dashboard and a data agent sharing a common dataset.
Why this matters
The embedded analytics market has a technical debt problem so large that the entire category is essentially being rebuilt from scratch. Looker was built on server-side rendering because browser compute was not powerful enough in 2012. That architecture is the wrong starting point for 2026, when WebAssembly and DuckDB make browser-native analytics competitive with cloud queries for typical SaaS datasets. Jeff Heer's Mosaic framework is not a startup's attempt to invent browser-native analytics: it is the output of years of academic research at one of the world's best data visualisation labs, built on top of D3.js and Vega, which are themselves Heer's prior inventions used by researchers and engineers at every major technology company. The angel roster is the market validation signal that matters most: Mark Nelson served as CEO of Tableau and CTO of Concur, where he personally experienced the exact problem Ridge is solving from the buyer's perspective. Chris Stolte co-founded Tableau and served as CTO. Adrien Treuille founded Streamlit. Carlos Guestrin co-founded Turi (acquired by Apple) and runs Stanford's AI Lab. These are the people who built the analytics infrastructure Ridge is now superseding. When they write personal cheques into a new analytics company, it is because they believe the architecture is genuinely better, not just iteratively improved.
Open roles at RIDGE AI
3 positions we're tracking. Roles are re-checked daily and removed when filled.
Hiring outlook
Very High. Press release explicitly names "data scientists and engineers" as the expansion focus. Four-person team with closed beta just opened and weekly customer onboarding cohorts.
Working at RIDGE AI
Since , RIDGE AI has built AI-native embedded analytics for B2B SaaS, browser-native dashboards and conversational AI data agents deployable in hours, not months. The team is now <50 people. For a AI company this size, the reality is broad remit, direct access to founders, and equity that still means something if the company works out.
The majority of roles are in Seattle.
Frequently asked questions
How many jobs does RIDGE AI have open?
As of April 2026, RIDGE AI has 3 open positions.
Does RIDGE AI hire remotely?
No remote roles right now — all positions are in Seattle.
What roles is RIDGE AI hiring for?
RIDGE AI is hiring across Engineering, Design, Other. The most recent opening is Software Engineer (Browser-Native Analytics / AI Stack).
How do I apply for a job at RIDGE AI?
Apply via the links above. For tips, read our guide on how to get hired at RIDGE AI.
Where is RIDGE AI based?
RIDGE AI is headquartered in Seattle, US.
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