Own the observability roadmap. Set a clear vision and a sequenced plan for the suite, and decide what gets built and when, in partnership with engineering.
Ship products people rely on. Turn a complex, data-dense problem into experiences customers use every day, and keep raising the bar on quality.
Make agent quality measurable. Build the evals and metrics teams need to know whether their agents are actually good and getting better, from latency and cost to conversation quality and behavior.
Design for two audiences at once. Make the product work for deeply technical users and non-technical operators without compromising either.
Get deep with customers and data. Understand how teams actually run and debug agents in production, and let that shape priorities.
Grow it into a business. Drive adoption and revenue so our observability revenue reflects the real value it delivers to customers.

8+ years in product management, at a senior or staff level, ideally having owned a developer-facing or data-heavy product.
Technical depth. You can reason about how a complex system works under the hood and earn the trust of strong engineers. You don't need to write code, but you need to understand systems well enough to make good tradeoffs.
Multi-persona product sense. You've built for both deeply technical users and non-technical ones in the same product, and have the design judgment to make dense, data-rich interfaces genuinely useful.
Cross-functional influence. LiveKit's engineering teams operate with high autonomy. You influence through clarity, trust, and good judgment, not process or hierarchy.
Communication as a superpower. You write clearly, present well, and can move between a board-level strategy conversation and a detailed technical discussion with an engineering lead.
Comfort with ambiguity. We're a small product team at a fast-growing company. You'll figure out what matters, prioritize ruthlessly, and move quickly without perfect information.

Built an observability, monitoring, or analytics product, or a tool for evaluating and improving AI/LLM quality
Familiarity with evals, tracing, or quality measurement for AI/LLM or agent systems
Familiarity with how teams debug and monitor software in production (logs, traces, metrics, dashboards)
Background at a developer tools or infrastructure company
Familiarity with voice AI, real-time communication, or telephony
Experience with usage-based pricing models

Hybrid — San Francisco, Remote

LiveKit is hiring a Staff Product Manager, Agent Observability