Top Tech Jobs & Startup Jobs in Charlotte, NC

The Audio Engineer will scale audio quality across voice AI products, design audio processing pipelines, and lead audio quality decisions during recordings, ensuring optimal sound for multiple use cases.

Lead design and delivery of an agent-based Intelligence Layer that autonomously analyzes product, usage, and revenue data. Build AI-augmented workflows, define semantic/data contracts, leverage voice models to extract insights from audio, advise CEO/Board on unit economics and NRR, and hire a small elite analytics engineering team.

As Model Evaluation QA Lead, you'll ensure model quality assurance across Deepgram's AI pipeline, designing automated evaluation frameworks, integrating quality gates into release pipelines, and ensuring high standards for model deployments.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

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 a Senior Website Manager, oversee the governance, optimization, and evolution of Deepgram.com, managing the website backlog, coordinating updates, and enhancing user experience through data-driven strategies and SEO initiatives.

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.

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

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.

The Talent Researcher role involves building talent maps in AI, ML, and voice technology, translating hiring signals into research plans, and delivering market intelligence to enhance recruitment processes.