Job Overview
Location
San Francisco
Job Type
Full-time
Category
Software Engineer
Date Posted
May 17, 2026
Full Job Description
đź“‹ Description
- • Build real-time, low-latency Voice AI systems that detect voicemails, navigate IVRs and virtual assistants, and provide in-call guidance to sales reps during live conversations.
- • Develop call intelligence layers including transcript analysis, conversation funnel modeling, and Markov-based models that identify patterns between converting and non-converting calls.
- • Design and implement manager-facing product features that surface coaching insights across entire sales teams based on aggregated call data and behavioral patterns.
- • Operate voice AI systems at hyperscaler scale, processing approximately 100 million calls per week with strict requirements for latency, capacity, quality of service, and observability.
- • Make foundational technical decisions on system architecture, including optimal latency thresholds for voice agents and real-time recommendation logic to maximize demo booking rates based on call transcripts.
- • Collaborate directly with enterprise customers through shared Slack channels, participating in user calls, gathering feedback, and shipping fixes within hours or days.
- • Own end-to-end delivery of features from concept to production, balancing user needs with technical constraints in a high-velocity environment.
- • Mentor senior and mid-level engineers through code reviews, design critiques, and pairing on complex technical challenges across the stack.
- • Scale the backend infrastructure supporting real-time voice processing using a combination of React, TypeScript, Node.js, and Python.
- • Optimize AI model deployment under strict latency budgets while maintaining high accuracy and reliability in production.
- • Analyze hundreds of real call recordings to identify edge cases, UX friction points, and systemic failures that automated systems miss.
- • Contribute to the evolution of the engineering culture by promoting best practices in testing, monitoring, and incident response.
- • Work in-office at least three days per week in San Francisco to support close collaboration with product, customer success, and engineering teams.
- • Maintain deep ownership of systems that directly impact revenue-generating features used by over 1,500 customers including Notion, HubSpot, Cursor, and Rippling.
- • Translate customer behavior and sales outcomes into actionable data models that improve conversion rates and team performance.
- • Balance rapid iteration with architectural integrity when shipping features that are mission-critical to customer productivity and satisfaction.
- • Participate in on-call rotation to ensure system reliability and rapid response to production incidents affecting real-time voice workflows.
🎯 Requirements
- • 5+ years of engineering experience with depth in React, TypeScript, Node.js, and/or Python
- • Production experience shipping AI features under strict latency constraints with strong opinions on model evaluation and performance metrics
- • Experience operating real-time or low-latency systems at hyperscaler scale, including deep understanding of capacity planning, QoS, and observability
- • Based in San Francisco with willingness and ability to work in-office 3+ days per week
- • Proven ability to mentor engineers and elevate team performance through code reviews, pair programming, and technical leadership
- • Willingness to listen to and analyze hundreds of real customer calls to uncover root causes of system failures
🏖️ Benefits
- • Top-of-market compensation
- • Work with a world-class team of 40 engineers, many former founders or founding engineers from Applied Intuition, Scale, Airtable, Citadel, and Jane Street
- • Product that drives most of the company’s revenue, with customers reporting 5–10x productivity gains within two weeks of trial
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Nooks Platform Inc.
Nooks Platform Inc. provides an AI-powered sales development platform that automates prospecting workflows for B2B teams. The product combines auto-dialing, parallel dialing, AI call coaching, call analytics, and CRM sync to help reps reach more leads, increase connect rates, and book meetings faster. It integrates with Salesforce, HubSpot, Outreach, and other sales tools to streamline sequences, surface live intent signals, and surface coaching insights from conversation data. Founded in 2020 and headquartered in San Francisco, the company serves high-growth SaaS and tech companies seeking to scale outbound pipeline generation without proportionally growing headcount.
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