Senior Software Engineer, Voice AI

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.