Senior Software Engineer, Voice AI
Build and scale real-time Voice AI for sales calls, including IVR navigation, live guidance, and call intelligence. Requires 5+ years of engineering experience, production AI work, and comfort with real-time/low-latency systems.
About the job
What you'll do
- Build real-time, low-latency Voice AI. Voicemail detection, IVR and virtual assistant navigation, in-call guidance for reps.
- Build the call intelligence on top. Transcript analysis, conversation funnels, Markov models of the calls that convert vs. don't, the manager-side product where coaches find patterns across whole teams.
- Work directly with customers. Our biggest accounts have shared Slack channels with our engineers; you'll be on calls with users one day and shipping fixes back to them the next.
- Make foundational technical decisions. How low can latency go for a voice agent that's still useful? Given the first half of a call, what should the system recommend to maximize the chance the rep books a demo?
- Mentor others on the team. Run code and design reviews, and pair on the hardest problems.
You might be a strong fit if
- 5+ years of engineering experience, with depth in something close to our stack (React, TypeScript, Node.js, Python). Bonus for experience operating real-time or low-latency systems at scale.
- Production experience with AI features. For example, you've shipped a model under a strict latency budget and have opinions about evals.
- Strong opinions, held loosely, about what it takes to run real-time voice at hyperscaler volume — capacity, QoS, observability, the things that break first when you 10x traffic.
- Not afraid to listen to a few hundred calls to figure out what's actually broken.
- You make the rest of the team faster.
- Based in San Francisco, excited to be in-office 3+ days per week.
Skills
React, TypeScript, Node.js, Python, Real-Time Systems, Low-Latency Systems, Voice Ai, Ai Features, Transcript Analysis, Observability
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