AI Solutions & Operations Associate

Job Description

About Proton DataLabs

Proton DataLabs helps supply chain and operations teams make better decisions when the answer is not obvious. Modern systems can already detect problems, surface data, and automate routine actions. The harder cases are the ones where teams still need to bring together context, tradeoffs, ownership, and judgment before deciding what to do next.

That is the space Proton is building in.

We work across AI, analytics, operational workflows, and decision support, with a focus on industries such as retail, supply chain, transportation, logistics, and distribution.

About the Role

We’re looking for an  AI Solutions & Operations associate to work closely with the founder and help turn ideas, customer needs, and market signals into things that actually move.

This is a broad, hands-on role for someone who enjoys learning quickly, using AI creatively, building lightweight systems, researching unfamiliar problems, and helping connect business needs with technical execution.

You won’t be expected to know everything on day one.

You will be expected to be curious, resourceful, structured, and comfortable figuring things out.

Some weeks you may help build an automated research workflow. Another week you may prepare for a customer call, test the feasibility of a technical requirement, coordinate with an external engineer, or help improve how Proton tracks opportunities and market signals.

The role is ideal for someone who likes being close to both the  business problem and the technology .

What You’ll Work On

You’ll help across a few connected areas:

• Turn founder ideas and hypotheses into structured research, workflows, and repeatable systems
• Use AI tools to automate repetitive research and operating tasks
• Build lightweight internal tools, dashboards, agents, or workflows when useful
• Maintain clean opportunity, CRM, and knowledge systems
• Prepare concise research and customer briefs
• Track relevant market signals, competitors, customer activity, and industry developments
• Support focused outbound and commercial experiments
• Join selected client calls to help understand technical requirements
• Help assess feasibility, dependencies, implementation effort, and required technical support
• Coordinate with external engineers, specialists, and vendors when needed
• Help evaluate future technical hires or contractors
• Document learnings so useful work becomes reusable instead of being rebuilt every time
  

What We’re Looking For

You may be a fit if you:

• Learn quickly and enjoy solving unfamiliar problems
• Are very comfortable using AI tools in your day-to-day work
• Have strong research and analytical skills
• Can communicate clearly in writing and conversation
• Can take something vague and turn it into a structured next step
• Enjoy building practical tools, workflows, or automations
• Have enough technical understanding to discuss APIs, data flows, AI tools, integrations, and lightweight applications
• Are comfortable working independently and asking good questions when something is unclear
• Can balance speed with judgment
• Enjoy working across both technical and business problems

Experience with any of the following is helpful:

• Python, JavaScript, SQL
• APIs and integrations
• n8n, Make, Zapier, or similar automation tools
• AI agents or LLM applications
• lightweight app development
• CRM or revenue operations tools
• data analysis or business intelligence
• supply chain, logistics, transportation, retail, or operations

You do not need to be an expert in all of these.

• We care more about  how quickly you learn, how well you think, and whether you can turn ideas into working outcomes.

Background

A bachelor’s or master’s degree in engineering, computer science, data science, business analytics, information systems, operations, or a related field is helpful.

Equivalent practical experience is also welcome.

How to Apply

Please send:

• your resume or LinkedIn profile
• a short note on why this role interests you
• one example of something you built, automated, analyzed, or improved
• one example of how you use AI in your work