Jobs at LiveKit

Lead product marketing for LiveKit's voice AI infrastructure: own end-to-end launches, develop positioning/messaging, enable sales with collateral and competitive intel, drive content/SEO strategy, create customer case studies, partner cross-functionally to build GTM processes across PLG and sales-led motions, and scale product marketing systems.

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

The Senior Infrastructure Engineer will manage and scale LiveKit's core infrastructure, focusing on reliability and performance, while working on Golang code and automation for distributed systems.

As a Forward Deployed Engineer, you'll collaborate with customers to design and implement scalable real-time applications, troubleshoot issues, and enhance the developer experience on the LiveKit platform.

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, build, and operate core control, data, and observability systems for a low-latency, highly-available realtime platform. Implement resilient region-spanning architectures, libraries, protocols, and tooling. Diagnose and harden critical paths using metrics, tracing, testing, and production traffic. Shape platform capabilities across identity, scheduling, observability, and distributed state management.

Build and ship web and CLI product surfaces for robotics developers using TypeScript and Go. Design features, iterate from prototype to production, engage with customers, and contribute to technical and product decisions to improve developer experience and observability.

As an IT Support Engineer, you'll manage frontline IT support and endpoint operations, improve access workflows, and collaborate with Security and Engineering. Responsibilities include triaging issues, onboarding, and maintaining system documentation.

Work directly with customer engineering teams to design, prototype, and deploy real-time audio, video, and voice AI applications on LiveKit. Design scalable architectures, build integrations and reference implementations, debug production issues, lead technical workshops, and translate customer needs into product insights. Contribute code and documentation to improve developer experience and support customers through launch and scaling.

Own technical relationships for strategic accounts, drive architecture reviews, deepen product adoption, coordinate LiveKit teams, lead exec business reviews, handle on-site launches and escalations, translate customer feedback into roadmap and hand off expansion signals to sales.

Provide technical support and advocacy for developers using LiveKit: triage and fix bugs, write sample and production-quality code, update docs, collaborate with community, meet customers to ensure successful integrations, and partner with Sales/BD on customer strategy.

Own and grow mid-tier GSI and ecosystem partnerships, run technical partner conversations, build a repeatable partner program from scratch, connect sales and special projects, and convert partner interest into trackable pipeline and real business outcomes.

Build and lead a 0->1 sales enablement function for a technical, developer-focused voice AI platform. Partner with CRO and sales leaders to design revenue-impacting onboarding, ramp, content, and field enablement programs; deliver practical training AEs use and travel monthly for in-person bootcamps and kickoffs.

As a Staff Rust SDK Engineer, you will design, build, and maintain the LiveKit Rust SDK and core modules, leading engineering practices while collaborating across teams to optimize performance and developer experience for real-time applications.

Own the LiveKit Inference product: set vision and roadmap, decide which models/providers to offer, ship a default model gateway, optimize for cost/latency/quality, engage customers and data, and grow revenue by consolidating model spend onto LiveKit.

Work directly with customer engineering teams to design, prototype, and deploy scalable real-time audio/video and voice AI applications on LiveKit. Build integrations and reference implementations, debug production issues, lead technical workshops, and translate customer needs into product improvements while contributing code and best practices to the platform and open-source ecosystem.

Own long-term technical relationships for strategic accounts, drive architecture reviews, deepen product adoption, coordinate internal teams, lead executive reviews and on-site launches, surface product feedback, and build TAM playbooks.

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.

Work directly with customers to design, prototype, and deploy real-time audio, video, and voice AI applications on LiveKit. Build integrations, debug production issues, run architecture workshops, produce reference implementations, and feed customer insights into product and platform improvements.

Act as the technical owner for a portfolio of strategic voice-AI and real-time engineering customers: drive architecture reviews, deepen product adoption, coordinate LiveKit teams, lead executive reviews and on-site launches, surface product feedback, and define TAM playbooks to ensure long-term customer success and expansion signal.