Startups · AI

AI Automation Engineer

FullStory · Atlanta · Remote

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About FullStory

Fullstory helps companies understand and improve how humans and AI agents interact with digital experiences. It automatically captures every user interaction, giving businesses and their AI agents the context they need to spot problems, anticipate customer... Backed by Kleiner Perkins and GV.

About the role

You will work embedded within the Finance team to identify opportunities for AI solutions and act as the technical bridge between them and other engineering groups. To excel in this job, you must have a tenacious problem-solving mindset and enjoy building the "glue" that connects systems to enable new capabilities. You will have delivered one or two impactful AI-powered solutions that are actively being used by the Finance team.

What they're looking for

  • Experience working closely with business stakeholders, preferably within a finance or business operations context
  • Proven experience designing and building solutions by integrating various systems (e.g., REST APIs, databases), with a strong comfort level in managing the associated data flows
  • Strong programming skills for tasks like data acquisition, cleaning, and preparation
  • Experience with data warehousing (e.g., BigQuery, Snowflake) and a solid understanding of data modeling
  • Improve team productivity through the identification and implementation of AI solutions that automate or optimize key workflows for the Finance team
  • Bachelor's Degree in Computer Science or related field
More about this role

This is a hybrid position requiring in-office attendance three days per week at our Atlanta office. Candidates must reside within a commutable distance to be considered.

The AI Automation Engineer will report to the Director, Engineering (Enterprise Systems and Data team) and help the Finance team leverage AI so that they can enhance data analysis, automate key workflows, and make more effective business decisions.

You will work embedded within the Finance team to identify opportunities for AI solutions and act as the technical bridge between them and other engineering groups. To excel in this job, you must have a tenacious problem-solving mindset and enjoy building the "glue" that connects systems to enable new capabilities.

Work embedded within the Finance team to identify opportunities and implement AI-powered solutions to complex business problems.

Guide and empower finance professionals to effectively use AI tools and technologies for data analysis and decision-making.

Design, build, and maintain the technical infrastructure required to enable AI, including custom tools, server-side logic, system integrations, and data pipelines.

Develop and manage data acquisition processes,...

Read the full posting on FullStory's site ↗

Enterprise Systems & Data

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