Teams at Inworld AI

Build and optimize high-volume, real-time inference systems for speech and language models. Responsibilities include improving model serving with quantization, batching, caching, attention, and decoding techniques; developing high-performance GPU systems; scaling distributed inference across Kubernetes and multi-node environments; profiling and optimizing code; containerizing models; and ensuring reliable production operation.

Own a portfolio of customer accounts, managing renewals, expansion, technical relationships, account health, business reviews, and escalations. Serve as a trusted technical contact, understand customer deployments, coordinate with Sales, Product, Solutions, and Engineering, and communicate customer feedback internally. Use CRM, customer success tools, and AI tools to improve account research, meeting preparation, follow-up, and account management.

Lead and build Inworld’s post-sales Customer Success and Account Management function. Own retention, renewals, expansion, customer outcomes, strategic enterprise accounts, forecasting, lifecycle processes, tooling, and AI-enabled automation. Establish the operating model, recruit and coach the initial team, manage executive relationships, and partner cross-functionally to drive adoption and translate customer needs into product priorities.