LiveKit
1 open Forward Deployed Engineer role at LiveKit. Curated with comp bands.
Comp on the board: $180K–$320K + equity.
On the board since Jul 2026 · still hiring
Our take
Why LiveKit
The open-source WebRTC layer under ChatGPT's voice mode — now a $1B company hiring FDEs, the clearest tell that voice agents crossed from demo to production.
- FDE type
- True forward-deployed
- Travel
- Medium
- Comp
- Competitive
- Stage
- Growth-stage
A good fit if you're…
- Engineers drawn to real-time infra, WebRTC and latency work over model training
- People who want open-source-native customer engineering, not a support queue
- Candidates who prefer being the platform layer every voice agent runs on
- Those comfortable with a Series-C growth-stage pace and medium customer travel
The transport layer under the voice-AI boom
LiveKit builds the open-source, WebRTC-based real-time stack that carries OpenAI's Realtime API and ChatGPT Advanced Voice Mode, with xAI, Meta and Spotify among its users. It is the picks-and-shovels layer of voice AI: while rivals chase models, LiveKit owns the transport every voice agent actually runs on. An FDE here works on that infrastructure, not on a chatbot.
Forward deployed on infra, not models
The job is true embedded customer engineering at the infrastructure layer. You sit with the teams building production voice and video agents and handle architecture, prototyping, integration and scaling on LiveKit's stack — a stack where latency and reliability are the product. It is systems work against real deployments, not a support queue or a model-training seat.
Comp: NY tops out lab-adjacent, SF runs lower
The New York band is employer-provided at $180K-$320K plus equity; the San Francisco posting runs lower (roughly $140K-$165K in prior data), so geography moves the number materially. Top-of-band NY is genuinely lab-adjacent for an infrastructure company — competitive rather than frontier-tier, with growth-stage equity on top.
The $1B Series C changes the bet
In January 2026 LiveKit raised a $100M Series C at a $1B valuation, led by Index Ventures with Salesforce Ventures, Altimeter and Redpoint, taking total funding to about $183M. That turns a joining decision from an early-stage gamble into a priced, well-capitalized growth bet — the equity is a real company's equity, not a seed-stage lottery ticket.
The skills that actually gate this
Real-time systems depth is the bar: WebRTC, streaming media, latency budgets and the operational discipline to own production reliability. Candidates who have shipped and debugged live audio/video pipelines have a large edge; those optimizing for pure model/ML work or fully abstracted app-layer engineering are a poor fit for the infrastructure core of the role.
Why an FDE hire is itself the signal
An infrastructure company standing up forward-deployed engineering is a tell in its own right: it means customers' voice agents are past the demo phase and into production deployments complex enough to need hands-on scaling help. LiveKit riding under the biggest voice products in the market is the growth story; the FDE seat is the proof it has reached deployment scale.
Questions candidates ask
Is LiveKit an AI or model company?
No. LiveKit is the real-time WebRTC transport infrastructure under voice agents. FDEs do infrastructure integration and scaling, not model training.
Does New York or San Francisco pay more?
New York. The employer-provided NY band is $180K-$320K plus equity, higher than the SF posting, so location moves the offer noticeably.
Do I need WebRTC or real-time experience?
It's strongly favored. Latency, streaming media and production reliability are the core of the role, so hands-on real-time systems work is the clearest qualifier.
Is the role remote?
It's based in New York or San Francisco with medium travel to customers — closer to hybrid than fully remote.
Analysis updated 2026-10-01
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