Top Tech Jobs & Startup Jobs in NYC, NY

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.

Build and ship full-stack features for customer-facing Console and Playground, plus internal tools. Design and maintain APIs and backend services, implement accessible performant frontends, translate product requirements into incremental work, and improve code quality through reviews and design discussions.

Senior HR Business Partner supporting a remote-first, high-growth AI company. Advise leaders on employee relations, performance management, manager coaching, organizational change, compensation cycles, immigration/work authorization, and scalable people processes. Partner cross-functionally with Legal, People Ops, Finance, and Recruiting to ensure compliance and operational effectiveness while building HRBP playbooks and improving manager capability.

Own and maintain deepgram.com end-to-end (Next.js front/back), Sanity CMS, component library, CI/CD, and QA. Lead i18n, technical SEO, AI/LLM discoverability, experimentation infrastructure, marketing integrations (GTM, GA4, HubSpot), and security audits while directing agency work and shipping high-velocity marketing site changes.

Own the end-to-end product experience for AI coding agents integrating Deepgram: discovery, integration/onboarding, production use, verification, and feedback systems. Build measurement, experimentation, and optimization systems; define agent-specific developer platform requirements and prototype changes; turn agent traffic into rapid product improvements and run cross-functional execution.

Lead end-to-end delivery of complex technical programs spanning hardware, software, and research. Define workstreams, set milestones, coordinate cross-functional teams, identify and mitigate risks, dive into technical details, and build lightweight processes and tooling to scale AI/ML infrastructure and GPU/cloud deployments.

Design and build scalable, automated evaluation pipelines and infrastructure to validate speech, audio, and multimodal models. Translate research benchmarks into enforceable pass/fail gates, run batch and streaming tests, operate canaries and continuous monitoring, integrate quality gates into CI/CD, and partner with research, training, inference, and infra teams to prevent regressions and ensure production model quality.

Lead end-to-end design and execution of voice data programs: build ingestion pipelines, labeling specs, tooling, and quality safeguards; align data strategy with research and product; manage vendors and teams; track throughput, quality, and vendor performance; and prototype/deploy data tools to scale datasets that improve speech and voice AI model outcomes.