Top Tech Jobs & Startup Jobs in Charlotte, NC

The Account Executive at Deepgram is responsible for building a sales pipeline, exceeding targets, collaborating with teams, and understanding customer needs to sell the voice AI platform.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

Lead the edge deployment strategy for Deepgram's speech AI models, optimizing for performance on constrained hardware and collaborating with partners like Qualcomm to deliver secure solutions for defense customers.

The VP, Strategic Sales will lead enterprise sales efforts, focusing on Fortune 500 clients, developing relationships, and driving significant revenue through complex sales cycles.

As a Network Engineer at Deepgram, you'll optimize global network infrastructure for real-time audio streaming, focusing on latency reduction across hybrid cloud and on-premises environments.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Drive new customer acquisition and revenue growth as part of the Outbound Sales Development team. Collaborate with cross-functional teams to build a strong sales pipeline and understand customer needs in the ASR space.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.