AI Engineer

Decagon Decagon · Vertical AI · San Francisco, CA · Founders Office

This role focuses on building AI automation agents and intelligent solutions to improve company efficiency and effectiveness. The engineer will design and deploy agents for sales processes, growth marketing, and post-sales support, as well as build an account mapping platform using scrapers, search APIs, and LLMs. The role also involves driving an AI-native culture, identifying internal champions, and defining best practices. Success will be measured by data on hours saved and additional work delivered, with a focus on internal stakeholder satisfaction.

What you'd actually do

  1. Build AI automation agents to make us efficient: design and deploy agents that translate company strategy and operational processes, into automated workflows, custom internal tools, and programmatic systems. Specifically: help automate manual sales processes, embed AI into growth marketing engines, maximize Claude skills in the post-sales org, and more. Unlock hundreds of Decagon teammates with their “aha” moment of your product.
  2. Build out intelligent solutions to make us more effective: build out an account mapping platform that helps sales and marketing identify the best individuals to target and break into accounts with. Leverage scrapers, search APIs, workflow automation tools, and LLMs to do this effectively, and efficiently.
  3. Be the AI Culture Driver: build an AI-native culture for the entire business, by identifying and enabling internal “AI champions,” and builders. Programmatically define templates and best practices into team norms. Turn them into people who can’t live without the automation and will be _very unhappy_ if it is taken away.
  4. Build out AI analytics: measure success by going deep into data, specifically around number of hours saved, and additional work delivered as a result of our efficiency and effectiveness gains. Become customer obsessed - customers being our internal stakeholders - and measure their happiness using our tools.

Skills

Required

  • AI prompting foundations
  • Builder DNA
  • Get it done mentality
  • Strong communications
  • Ability to manage cross-functional teams

Nice to have

  • SQL
  • BI
  • managing data lakehouses
  • scraping
  • scripting from DS notebooks

What the JD emphasized

  • AI automation agents
  • AI-native culture
  • AI champions
  • AI analytics

Other signals

  • AI agents
  • automation
  • internal tools
  • LLMs