Jobs at LiveKit

Design developer tools for testing, evaluating, debugging, and observing AI voice agents. Translate dense real-time data into clear interfaces, create AI-native interaction patterns, prototype in code, collaborate with engineers, and contribute to design systems for technical debugging workflows.

Own 8–10 full-cycle technical recruiting searches for engineering roles, partnering with hiring managers, sourcing passive candidates, building talent pipelines, closing senior and staff-level hires, and improving recruiting systems and candidate experience. The role requires strong technical recruiting expertise across infrastructure, backend, developer tools, open source, or AI, plus the ability to implement thoughtful AI-enabled recruiting practices.

Own and scale LiveKit’s vulnerability management and security operations program. Responsibilities include selecting and operationalizing scanning tools, triaging vulnerabilities, assigning owners, setting remediation SLAs, building remediation dashboards, automating compliance evidence collection, and developing automation to reduce manual security work. The role partners closely with engineering and compliance teams to prioritize risk and accelerate remediation.

Own infrastructure security for LiveKit’s production platform. Map cloud security posture, prioritize and remediate infrastructure risks, harden IAM, secrets, networks, tenant isolation, and media storage, and build secure infrastructure-as-code guardrails. Partner with compliance teams on PCI-DSS and ISO 27001 controls and automate audit evidence. The role requires cloud, Kubernetes, Terraform, scripting, and production infrastructure security experience, with AI security and real-time media experience preferred.

Own the product organization’s operating system, including planning cadence, roadmap management, goal tracking, reporting, product development standards, launch readiness, customer insight systems, PM onboarding, training, tools, and team practices. Partner with product leadership, data, marketing, sales, success, and engineering to improve team effectiveness, visibility, and decision-making as the company scales.

Own and engineer the GTM stack: Salesforce as system of record and HubSpot as marketing system, build and maintain integrations and data flows, deploy agentic AI workflows, implement observability and change management, and partner with Sales, Marketing, Analytics, and Billing to ensure reliable revenue operations.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Own the LiveKit Telephony product roadmap, covering SIP trunking, native phone numbers, carrier relationships, global expansion, interoperability, reliability, call quality, pricing, packaging, and margins. Partner closely with engineering, enterprise customers, and carriers to prioritize features, improve production call experiences, establish regulatory coverage, and scale telephony infrastructure for voice AI applications.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and end-to-end experiments. Select and adapt open-weight models, design robust rewards, deploy models to production, and improve behavior using real-world usage. The role requires strong Python engineering, experience taking models from raw data to production, GPU familiarity, and collaborative remote work.

The Senior Product Engineer will build web and CLI interfaces for developers using LiveKit, focusing on product experience and user feedback. Responsibilities include writing production code, engaging with customers, and making product decisions to enhance developer experience.

Design and evolve core control, data, and observability systems; implement resilient region-spanning architectures; build libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, and testing; and shape platform capabilities across identity, scheduling, observability, and distributed state management.

Build and operate internal IT systems across identity, endpoints, Google Workspace, Slack, SaaS governance, and automation. Own Okta access engineering, Workspace ONE macOS fleet management, lifecycle workflows, compliance controls, audit evidence, and technical escalations. Partner with Security, Engineering, People, and Finance to improve security, reliability, and scalability while reducing manual IT support through automation.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.