Job Overview
Location
San Francisco
Job Type
Full-time
Category
Software Engineer
Date Posted
May 17, 2026
Full Job Description
đź“‹ Description
- • Build end-to-end AI features that directly drive revenue, defining success metrics and iterating until key indicators move meaningfully.
- • Work directly with enterprise customers via Slack channels and live calls, shipping fixes and validating new features within hours of customer feedback.
- • Design and implement foundational technical architecture for AI agent behavior, including agent memory systems per user and primitives for long-running outbound sales sequences.
- • Own the Core Product surface used by over 1,500 customers, where reps spend 4+ hours daily drafting emails, running LinkedIn outreach, researching prospects, and queuing follow-ups.
- • Make critical technical decisions on how AI agents interact with sales workflows, balancing automation with human oversight in the agent workspace.
- • Mentor junior engineers through code reviews, design critiques, and pairing sessions on complex problems within the AI-powered sales stack.
- • Collaborate with product and customer success teams to translate real-world sales challenges into scalable technical solutions.
- • Debug production AI agent misbehaviors, build evaluation frameworks to prevent recurrence, and continuously improve agent accuracy and reliability.
- • Contribute to the evolution of human-agent collaboration interfaces, shaping how sellers interact with AI in their daily workflows.
- • Participate in the full product lifecycle—from ideation and prototyping to deployment and performance monitoring—on a product used by teams at Notion, HubSpot, Cursor, and Rippling.
- • Operate with autonomy in a high-velocity environment where technical decisions have immediate impact on customer outcomes and company growth.
- • Maintain a production environment built on React, TypeScript, Node.js, and Python, ensuring performance, scalability, and reliability of AI-driven sales automation.
- • Advocate for engineering excellence while remaining flexible in approach, holding strong opinions about product direction but adapting based on data and user feedback.
- • Engage in daily in-office collaboration, working alongside a team of 40 engineers primarily composed of former founders and senior builders from Applied Intuition, Scale, Airtable, Citadel, and Jane Street.
- • Contribute to a culture of technical craftsmanship, where team members collectively raise the bar through peer feedback, shared ownership, and high standards.
🎯 Requirements
- • 5+ years of engineering experience with depth in React, TypeScript, Node.js, and/or Python
- • Production experience building and debugging AI features, including developing evaluation systems to improve agent reliability
- • Strong opinions, held loosely, on the design of human-agent collaboration interfaces in software
- • Based in San Francisco and willing to work in-office 3+ days per week
- • Proven ability to mentor engineers and improve team velocity through code reviews and collaboration
- • Experience working directly with enterprise customers to validate product features and ship rapid iterations
🏖️ Benefits
- • Top-of-market compensation
- • Work alongside a world-class team of 40 engineers, including former founders and engineers from Applied Intuition, Scale, Airtable, Citadel, and Jane Street
- • Opportunity to define a new product category in AI-powered sales engagement
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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