The AI decision system for revenue teams
San Francisco, California
Revic is the AI decision system for revenue teams. Revenue teams don’t fail because they lack data — they fail because strategy breaks in execution. Reps can’t consistently explain why one account deserves focus over another, so prioritization resets every quarter and learning doesn’t compound. Revic learns how deals actually close by analyzing closed-won and closed-lost outcomes, then applies that logic to every account. The result is explainable, account-level decisions about who to focus on, why they matter now, and how to execute — shared across Sales, Marketing, and RevOps. Unlike intent data, scoring models, or revenue intelligence tools, Revic doesn’t just report what happened. It guides execution with reasoning teams can trust, reuse, and defend.
Remote · Vancouver, British Columbia, Canada
The engineer will be responsible for designing, building, and maintaining the cloud infrastructure and developer platform that powers the company's AI systems, including owning CI/CD pipelines and deployment automation. A key mission involves building and operating observability, monitoring, and alerting systems while improving the developer experience across local development, testing, and debugging.
Remote · Vancouver, British Columbia, Canada, Calgary, Alberta, Canada, Toronto, Ontario, Canada
The mission involves collecting, collating, and making useful data from over 50 sources, designing reliable data pipelines across terabytes of data, and building AI systems that can reason and act on messy data. The role also requires building applications that elevate the seller's experience while balancing accuracy, latency, and cost for concurrent agent runs.