RevioliMath, ML & Risk Modeling
lead or applied mathematicianOwn the decision engine itself — how deterioration is separated from noise, how winnability is judged, and how confidence is bounded so it never overstates.
Careers
Build the thing that tells the truth.
Most AI products are built to look confident. We are building one whose main job is knowing when not to act — and proving every claim back to a record. That constraint is the whole engineering problem, and it's why this is interesting.
Evidence or it didn't happen
Every number the product shows traces to the record it came from. No score without a cause, no cause without a source.
Restraint is a feature
The product says "don't bother" as often as "act now" — and that discipline is what makes anyone believe the flags.
Ship to real customers
Small team, private rollout, founders in the deployment calls. You will talk to the people using what you build.
Open roles
Founding team, all functions.
If none of these fit but you think you should be here, apply to the last one and tell us why.
Data / ML Engineer
intelligence pipelines and agent contextBuild the pipelines that turn messy customer systems into evidence with lineage. If a claim can't be traced to a record, it doesn't ship.
Full-Stack Product Engineer
Atlas deployment and product surfaceThe workspace where a human reads a call and approves a save. Dense, fast, and legible under pressure — closer to a trading terminal than a dashboard.
Forward-Deployed Solutions Engineer
customer deploymentGet a real customer from a CSV to a first save inside one working session, then bring back everything that made it hard.
Founder-Led Sales / First AE
revenue operatorSell a product that tells buyers when not to act. Founder-led motion, technical buyers, honest claims only.
Marketing & Content Lead
content and reportsExplain a decision engine without hype. The bar is the site you're reading: specific, evidenced, no invented statistics.
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