I've never understood why anti-scalpers just don't work backwards from shipping address. Are these scalpers all really keeping hundreds of actual physical addresses they can receive packages at? Like if you see the limited product has 100 orders going to the same building, or apartment, or whatever then flag it before it goes out. Limit PO Boxes, etc.
Sure they can find mules to buy+receive one and then sell to the scalper, but the more steps you put in the better. Same for the people scamming Sam's club by buying memberships, ordering limited items, then refunding the membership. Just lock orders to members older then >1yr and make sure it only ships to the actual physical address attached to the membership. Flag multiple memberships at the same address.
I've run a modest shipping op and the second I saw even a couple orders of the same product going to the same address I would halt it and do additional verification.
Synthropic | Detection Engineer + GenAI | Full-time / Part-time | Remote (SF)
We're an early-stage startup looking for someone passionate about detection engineering and generative AI.
If you know SIEM, threat intel, logs, detection modeling/strategy, purple teaming, and adversary emulation — and you've been wanting to explore how LLMs/agents can accelerate detection engineering workflows — we'd love to talk.
The role A lot of it is what we call AI babysitting: guiding 1,000 kindergarteners (LLMs) as they try to become senior detection engineers. Sometimes they're brilliant, sometimes chaotic — your job is to shape that into something production-ready.
You'll be part detection engineer, part researcher, part builder, with a big say in shaping the product and how AI gets applied to real-world problems.
Details Full-time or part-time Remote-friendly (SF-based, local a plus but not required) Early team, high ownership, fast iteration
We're an early-stage startup looking for someone passionate about detection engineering and generative AI.
If you know SIEM, threat intel, logs, detection modeling/strategy, purple teaming, and adversary emulation — and you've been wanting to explore how LLMs/agents can accelerate detection engineering workflows — we'd love to talk.
The role
A lot of it is what we call AI babysitting: guiding 1,000 kindergarteners (LLMs) as they try to become senior detection engineers. Sometimes they're brilliant, sometimes chaotic — your job is to shape that into something production-ready.
You'll be part detection engineer, part researcher, part builder, with a big say in shaping the product and how AI gets applied to real-world problems.
Details
Full-time or part-time
Remote-friendly (SF-based, local a plus but not required)
Early team, high ownership, fast iteration
Sure they can find mules to buy+receive one and then sell to the scalper, but the more steps you put in the better. Same for the people scamming Sam's club by buying memberships, ordering limited items, then refunding the membership. Just lock orders to members older then >1yr and make sure it only ships to the actual physical address attached to the membership. Flag multiple memberships at the same address.
I've run a modest shipping op and the second I saw even a couple orders of the same product going to the same address I would halt it and do additional verification.