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Own the LiveKit Inference product roadmap, decide which models and providers to offer, partner with engineering, optimize hosting and routing for voice AI workloads, grow customer value and consolidate model spend, and learn from customers and data to prioritize features.

Partner with customer engineering teams to design, prototype, and deploy real-time audio/video and voice AI applications on LiveKit; build integrations, debug production issues, lead workshops, and contribute reference implementations and open-source examples.

Partner with customer engineering teams to design, prototype, and deploy real-time audio/video and voice AI applications on LiveKit. Build integrations, debug production issues, lead architecture sessions, create reference implementations, and feed product insights back to internal teams while contributing to open-source examples.

Design, implement, and manage LiveKit's infrastructure, focusing on performance, reliability, and automation while ensuring effective incident management and coordination with vendors.

Own long-term technical relationships for strategic accounts, drive architecture reviews and adoption, coordinate LiveKit teams for implementations and escalations, lead executive reviews and on-site launches, identify expansion signals, and develop TAM playbooks to scale account engagement.

Own long-term technical relationships for strategic accounts, drive architecture reviews and adoption, coordinate LiveKit teams for implementations and escalations, lead executive reviews, identify expansion signals, and build TAM playbooks for customer success.

Work directly with customers to design, prototype, and deploy real-time audio/video and voice AI applications on LiveKit. Architect scalable systems, build integrations and reference implementations, debug production issues, lead technical workshops, and feed customer insights into product and platform development.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Partner with customers to design, prototype, and deploy real-time audio/video and voice AI systems on LiveKit. Build integrations, troubleshoot production issues, run architecture workshops, produce reference implementations, and feed implementation insights back to Product and Engineering.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.