Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own Deepgram’s privacy operations, security compliance, audit evidence, control mapping, security questionnaires, policies, and public trust documentation. Lead DPIAs, data-flow mapping, DSAR and deletion workflows, vendor reviews, SOC 2, ISO 27001, and PCI DSS audits. Partner with Engineering, Legal, Research, and Sales Engineering to verify technical claims, automate evidence collection, maintain accurate documentation, and translate privacy and AI regulations into practical requirements and enablement.

Owns Deepgram’s privacy operations program across hosted, dedicated, and self-hosted deployments. Leads privacy risk assessments, DPIAs, transfer impact assessments, data-flow mapping, records of processing, vendor reviews, retention and deletion controls, DSAR workflows, and privacy audits. Translates privacy and AI regulations into engineering and go-to-market requirements, develops operational playbooks and tooling, supports customer reviews, and partners with Legal, Security, Engineering, and Sales Engineering to produce verifiable privacy evidence.

Build and automate security controls across bare-metal Linux infrastructure and AWS. Responsibilities include host hardening, vulnerability and patch management, container and CI/CD security, penetration testing, detection and incident response, access and log reviews, compliance evidence automation, and software supply-chain security. The role also supports customer security work and applies AI tooling to security operations.

Build AI-powered workflows, agents, integrations, and internal tools that automate People Operations. Partner with People, Engineering, and IT to modernize onboarding and other employee processes, while implementing secure access controls, human oversight, escalation paths, and production-ready architectures. Prototype with users, iterate quickly, and measure improvements in efficiency, employee experience, and operational consistency.

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.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

Own and grow the self-serve developer funnel from first touch to paid customer. Define and ship product changes across onboarding, console, and activation. Build instrumentation, experimentation, and business rhythms; run rapid hypotheses, measure outcomes, and collaborate with engineering, design, dev rel, marketing, sales, and analytics.

Own adoption, retention, and expansion across a pooled portfolio of scaled customers through digital-first programs. Provide technical API integration guidance, troubleshoot issues, run demos, and create reusable enablement assets. Design automated customer journeys, webinars, self-service resources, and workflows that accelerate activation. Monitor usage and health data, identify expansion opportunities, report KPIs, and build scalable systems that reduce recurring manual work.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Design and implement scalable, secure inference services for speech processing. Optimize networking, audio transcoding, latency, memory, and distributed compute orchestration. Debug complex system issues, customize backend services for customers, and partner with Product to deliver end-to-end features.