FullStory

AI Automation Engineer

FullStory$110K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in AI solutions or automation, preferably in finance
  • Proficiency in systems integration (e.g., REST APIs, databases)
  • Strong programming capabilities for data tasks
  • Experience with data warehousing solutions like BigQuery or Snowflake
  • Bachelor's Degree in Computer Science or a relevant field

Responsibilities

  • Identify and implement AI-powered solutions within the Finance team
  • Guide finance professionals in effectively using AI tools
  • Design and maintain technical infrastructure to support AI initiatives
  • Develop data acquisition processes for AI model usage
  • Conduct data analysis to support finance strategies
  • Bridge technical communication between Finance and engineering groups

Benefits

  • Hybrid work model with one day in the office
  • Opportunities for professional growth within the engineering team
  • Work on cutting-edge AI solutions in a collaborative environment
  • Impact on key business decisions through innovative technology
  • Engage in discussions shaping AI best practices
Full Job Description
This is a hybrid position requiring in-office attendance one day 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.

In a typical day, you might:
  • 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, including sourcing, cleaning, and preparing data for use in AI models and analytics.
  • Conduct data analysis to uncover insights, validate data integrity, and support strategic finance initiatives.
  • Act as the technical bridge between the Finance team and other engineering groups, translating business needs into robust technical solutions.

Here's what we'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.

The impact you will have in 6 Months:
  • You will have delivered one or two impactful AI-powered solutions that are actively being used by the Finance team.
  • You will be seen as a trusted technical partner and the go-to expert for AI implementation within Finance.

The impact you will have in 12 Months:
  • You will be proactively identifying new, complex business problems to solve with AI and scaling your solutions, potentially with other teams.
  • You will be contributing to broader engineering discussions about AI best practices and helping to shape the future of AI automation at Fullstory.

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About FullStory

FullStory is a digital experience analytics platform that helps businesses understand and improve their online customer experiences. The company was founded in 2014 and is headquartered in Atlanta, Georgia. FullStory's platform provides a range of features, including session replay, heatmaps, and conversion funnels, that allow businesses to see how users interact with their websites and identify areas for improvement. FullStory has raised over $100 million in funding and has been recognized as one of the fastest-growing companies in the United States.
Learn more about FullStory
Size
500 employees
Industry
Founded
2012

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