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# Software Engineer

- **Company:** The Nook
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Software Debugging, Python (Programming Language), Node.Js, Software Engineering, TypeScript, ReactJS, Slack
- **Published:** July 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-core-product-san-francisco-ca--dd102bba-2f72-4f49-9601-dd6f60ce0a5a

## About the Role

* 5+ years of engineering experience, with depth in something close to our stack (React, TypeScript, Node.js, Python).
 * Production experience with AI features. For example, you've debugged misbehaving agents and built the evals to keep issues from recurring.
 * Strong opinions, held loosely, about what the product surface of human-agent collaboration should look like.
 * Not afraid to hop on a call with a customer to validate a feature you just built.
 * You make the rest of the team faster.
 * Based in San Francisco, excited to be in-office 3+ days per week., Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Code Reviews, Debugging Skills, LinkedIn, Memory Hardware, Mentoring, Metrics, Sales, Sales Strategy, Slack, Software Engineering, Technical Recruiting, Technical Sales

## Description

Sales software was built for humans. But we believe most sales work will be done by agents within the next two years. AI Sequencing is our bet on getting there. Reps use the tool as a "copilot" and spend 4+ hours a day in it, drafting emails, running LinkedIn outreach, researching prospects, queuing follow-ups. The Core Product team owns this product surface, and we're hiring senior engineers who want a say in what it becomes.

What you'll do

 * Build AI features that drive revenue, end to end. Define the success metric, and iterate until it moves.
 * 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 should agent memory work per rep? What's the right primitive for a long-running outbound strategy?
 * Mentor others on the team. Run code and design reviews, and pair on the hardest problems.


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