Top Tech Jobs & Startup Jobs in NYC, NY

As QA Engineering Manager, you will define QA strategies, manage a QA team, and integrate testing into product release cycles while ensuring compliance and quality standards are met.

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.

The Revenue Operations Analyst supports quote-to-cash processes, manages Salesforce administration, reconciles data, and identifies operational efficiencies at Deepgram.

The Associate General Counsel will negotiate and close enterprise agreements, provide legal guidance on various issues, and help scale the legal function in a rapidly growing AI startup.

As a Senior Developer Advocate, you'll enhance developer experiences by improving integration with partner ecosystems, maintain relationships, produce technical content, and drive adoption through clear documentation and community engagement.

As a Senior Developer Advocate at Deepgram, you will create and share demos, reference applications, and technical content, engage with the developer community, and advocate for voice AI adoption, requiring strong knowledge in software engineering and dev relations.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

The GTM Enablement Manager at Deepgram will enhance training and productivity for GTM teams, focusing on onboarding, program development, and tool adoption to improve revenue performance.

Lead the design and implementation of backend services for data cataloging and ML training systems, focusing on performance and scalability.