Graduate Business Operations Associate
Bezos.AIBezos.ai is a Fulfilment-as-a-Service (FaaS) platform. Online sellers connect their sales channels (Amazon, eBay, Shopify) and we orchestrate the rest: routing orders to a global network of warehouse and carrier partners, tracking every parcel to the customer's door, and giving sellers one clean view of their entire supply chain. We are a small, fast-moving, AI-native team that is almost doubling our business in 2026. Operations is the engine room, and this is where you learn how a real logistics platform runs: fast, with real ownership from day one.
Your Mission
Be the dependable engine of the ops team. You'll keep orders flowing - spotting and resolving the ones that get stuck or go missing - answer seller and operational queries, run our operational checks, and help build the AI skills and automations that take the repetitive work off everyone's plate. You'll learn the whole order journey end-to-end and, within months, start figuring things out on your own.
Core Pillars
- Keep the flow clean: Run the daily cross-system checks; spot orders that are missing, stuck or mismatched, and resolve or escalate them
- Support sellers & partners: Answer operational tickets, run checkers, and create/send invoices accurately and on time
- Learn to build: Use Claude to build skills and automations that remove repetitive work, starting with the recruitment exercise and growing from there
- Improve as you go: Drive incremental improvements to the tools and processes you touch every day
- Run the daily cross-system reconciliation reliably and clear order exceptions in your queue
- Answer operational tickets within SLA and run the Bezos checkers independently
- Build your first working Claude skill or small automation that saves the team time
- Deliver clean, on-time work on a team project and start figuring out open-ended tasks with less hand-holding
What we're looking for (non-negotiables)
- Numerate & analytical. A degree (or clearly demonstrated equivalent) in a quantitative discipline, eg engineering, maths, physics, CS, or a heavily numerate economics / finance / quant-social-science track. Comfortable with raw data and spreadsheets
- AI-native: can build, not just chat. You use Claude/AI in your daily work and can build a simple, working Claude skill. You don't need a portfolio of production agents yet, but you must demonstrate building one in the recruitment exercise. (Having already built skills/agents is a strong plus.)
- Reliable & coachable. Delivers what's asked, on time, with clean work; asks questions when stuck rather than guessing; takes feedback well
- Picks things up fast. Learns new tools and processes quickl
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