Nooks. ai

AI

SeniorSoftwareEngineer,VoiceAI

$215–300k San Francisco, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer, Voice AI at Nooks. ai. Skills: Voice AI, real-time, low-latency systems, AI features, hyperscaler volume. Build real-time, low-latency Voice AI. Voicemail detection, IVR and virtual assistant navigation, in-call guidance for reps”

What You'll Achieve.

10x every seller by automating the busywork so they can focus on what humans do best: closing deals; maximize the chance the rep books a demo

Industry & Context.

AI
Problems you'll solve

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?

Eligibility Requirements

Based in San Francisco, excited to be in-office 3+ days per week

What They're Looking For.

Must Have

5+ years of engineering experience, depth in something close to our stack (React, TypeScript, Node. js, Python), Production experience with AI features, experience shipping a model under a strict latency budget, opinions about evals, 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

Nice to Have

experience operating real-time or low-latency systems at scale

What You'll Do.

IVR and virtual assistant navigation

in-call guidance for reps

Build the call intelligence on top

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

Make foundational technical decisions

Mentor others on the team

Run code and design reviews

pair on the hardest problems

How You'll Work.

Team & Collaboration

Work directly with customers; Our biggest accounts have shared Slack channels with our you'll be on calls with users one day and shipping fixes back to them the next; Mentor others on the team; Run code and design reviews; pair on the hardest problems

Communication Scope

Work directly with customers; on calls with users

Full Job Description

ABOUT NOOKS.AI http://Nooks.ai: Nooks is an applied AI lab building the Agent Workspace for GTM. We design AI agents that operate across the full sales action set, from account strategy to prospect research and outreach. Building 0→1 has never been easier, but selling at the speed of the market remains the last frontier for AI. Our mission is to 10x every seller by automating the busywork so they can focus on what humans do best: closing deals. Today, over 1,500 customers run on Nooks, including Notion, HubSpot, Cursor, and Rippling. We’ve raised $70M+ from top VCs like Kleiner Perkins, which made its first sales-tech investment in over a decade with us. Since then, we’ve tripled ARR each year for 3 years running and grown a high-caliber team turning the art of sales into a scalable science. ABOUT THE ROLE Most sales calls don't connect. The ones that do go through a maze: voicemails, phone trees, virtual assistants. Voice AI is the bet that an agent can navigate that maze, guide reps in real time, and turn the resulting transcripts into coaching insights that make whole teams convert better. We run roughly 100 million calls a week today — hyperscaler volume for real-time voice. We're hiring senior engineers to push both sides forward. 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? - Me

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