Xpreso pairs voice-first technology with career matching, positioning itself as a conversational alternative to traditional job search. The stack (React, TypeScript, Python, Kafka, Redis, Kubernetes) reflects infrastructure-heavy engineering for real-time processing—a signal that the product depends on low-latency matching and dialogue flow. Hiring velocity is accelerating with 9 engineering roles and 3 sales roles posted in the last 30 days, mostly senior-level, concentrated in Germany and Switzerland, alongside active projects in sales-playbook development and GTM scaling.
Xpreso is a voice-powered career assistant that conducts conversational interviews to understand candidate goals and match them to relevant roles. The platform operates as a talent marketplace connecting job seekers with companies, using dialogue as the primary interface rather than traditional resume search. At 2–10 employees, the company is in early scaling mode, hiring heavily in engineering and sales across DACH (Germany, Switzerland). Active projects span product maturation (web app evolution, real-time dashboards), go-to-market infrastructure (playbook development, GTM loop scaling), and operational reliability. Key internal challenges include automating complex workflow matching, building repeatable sales processes from scratch, and scaling engagement loops efficiently.
React, TypeScript, Python, MongoDB, Kafka, Redis, Kubernetes, Docker, AWS (SNS, SQS, CloudFormation, CDK), Azure (Cosmos DB, Service Bus), and observability tooling (Prometheus, Grafana, Elasticsearch).
Berlin, Germany. The company is hiring across DACH region (Germany and Switzerland).
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