Teams at Replicant

Own production bugs, escalations, and enhancements for AI agent products. Investigate issues across logs, code, conversation data, telephony, integrations, authentication, APIs, and LLM prompting; implement, test, and ship fixes. Support customers directly, coordinate testing, guide frontline support engineers, build internal investigation tools, and relay feedback to Product while meeting SLAs.

Own and build Replicant’s revenue operations function, including forecasting, pipeline management, compensation, pricing, quota setting, capacity planning, GTM systems, and AI-assisted reporting. Serve as a strategic partner to Sales and Finance leadership, consolidate fragmented revenue data, improve operating decisions, and grow the RevOps team from one analyst. The role requires experience building RevOps at growth-stage SaaS companies and leading cross-functional revenue strategy.

Lead exploration and application of large language models and generative AI for enterprise contact-center automation. Translate research into high-performing, deployable ML systems; contribute across experimentation, implementation, and deployment; collaborate with engineering and product teams; optimize performance; and help shape team strategy, innovation, and professional growth.