Teams at LiveKit

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, tooling, and team development. Partner with product leadership, data, marketing, sales, success, and engineering to improve product execution and organizational effectiveness.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

As a Senior Product Engineer, you'll build user-facing products on the LiveKit platform in TypeScript and Go while engaging with developers and contributing to strategic decisions.