Teams at Revspire

Build and operate reliable backend integrations between AI agents and CRM platforms. Design event pipelines, asynchronous processing, APIs, synchronization, retries, reconciliation, and recovery systems. Ensure data integrity, secure authentication, correct multi-tenant routing, and dependable CRM actions such as customer lookup and appointment booking. Own production reliability through observability, testing, alerts, and operational tooling. Staff engineers additionally guide architecture and establish platform-wide engineering patterns.

Manage end-to-end relationships with enterprise, multi-location home services customers. Lead structured onboarding, implementation planning, and rollout execution. Drive adoption across voice, SMS, and email, coordinate cross-functional teams, document workflows and requirements, run frequent customer calls, and support expansion while traveling to customer sites monthly.

Improve production conversational AI agents through data analysis, experimentation, evaluation, and software engineering. Responsibilities include diagnosing failures in customer conversations, building trustworthy metrics and datasets, improving voice interactions, testing models and prompts, optimizing latency and reliability, and shipping measurable production improvements. The role requires hands-on ownership across the full agent improvement cycle, with Staff-level engineers also shaping evaluation strategy and mentoring team practices.