AI & Automation Analyst

We’re looking for a highly practical, tech-savvy builder to identify and solve operational problems across our business using the best available tools. This is AI when appropriate, but not by default. We expect that problems can be solved with “vibe coding” and does not require deep technical experience of the entire tech stack or LLM models.

This role sits at the intersection of product, engineering, and operations. You’ll work directly with company leadership to identify high-impact opportunities, rapidly prototype solutions, deploy them into real workflows, and continuously improve them over time.

This is not a research role. This is not a pure engineering role. 

This is a build → deploy → iterate → own role.

1. →

• Partner with business leaders to understand broken or inefficient workflows 

• Ask the right questions to get to the root problem 

• Determine whether automation, AI, or process changes are the right solution 

• Prototype solutions in days, not weeks 

• Use a mix of tools such as: 

• LLM APIs (OpenAI, etc.) 

• Scripting (Python / JavaScript)

• Automation platforms (Zapier, Make, etc.) 

• Internal tools (PowerAps, etc.) 

• Focus on speed and usefulness over perfection 

• Get solutions into the hands of actual users quickly 

• Integrate with existing systems and processes where needed 

• Ensure tools are usable, not just technically functional 

• Work closely with users to refine and improve solutions 

• Continuously improve performance, reliability, and usability 

• Kill or pivot projects that don’t deliver value 

• Monitor and fix issues as they arise 

• Improve prompts, logic, and edge case handling over time 

• Ensure systems continue to work as expected as usage scales 

• You ship your first working solution within the first few weeks 

• Within 90 days, multiple workflows are live and saving meaningful time or cost 

• Teams actively use what you build (not just demo it) 

• You become a go-to partner for solving operational problems 

• Builder mindset: you default to making things, not just discussing ideas 

• High ownership: you care about whether things actually work in practice 

• Strong judgment: you know when not to use AI 

• Comfort with ambiguity: you can operate without perfect specs 

• Clear communicator: you can work directly with non-technical teams