Senior Intelligence Systems Engineer

Polymarket

2d•Remote

About The Position

The Global Intelligence & Investigations team sits inside Legal and exists to protect Polymarket, its customers, and its reputation. The team detects, investigates, and neutralizes threats to the platform, from market manipulation to coordinated evasion, using a mature, in-house intelligence-fusion platform built specifically for this work. The best version of this hire is an engineer who thinks like an investigator and a builder at once. Someone who gets curious about how manipulation actually works, invents detection approaches before we've seen the pattern in the wild, and treats every closed investigation as a data point that should make the system smarter.

Requirements

Ownership mindset with a track record to back it up. You've owned a complex data system end-to-end over a multi-year horizon, made real architecture decisions, and left it materially better than you found it.
Senior data or detection engineering experience at scale. Deep fluency with SQL, Python or equivalent, data pipelines, and both scheduled and event-driven systems. You make architecture decisions, not just implement them.
Hands-on depth in data fusion and entity resolution. You can take heterogeneous, messy inputs, resolve them to a shared entity model, and reason carefully about scoring and corroboration so real signals rise and noise stays down.
Comfort working directly with investigators and analysts. You translate domain instinct into a working technical capability, and you care that what you build holds up under legal and audit review.
Genuine interest in market integrity and the problem of catching people who don't want to be caught. The mission has to matter to you, not just the engineering.

Nice To Haves

Prior experience working alongside fraud, trust and safety, or investigations teams.
Exposure to on-chain or crypto data analysis, including working with blockchain transaction data, wallet clustering, or similar.

Responsibilities

Own the architecture and long-term direction of the intelligence-fusion platform, making the technical decisions that determine where the system goes, not just how it runs today.
Design new detection and correlation approaches that anticipate how manipulation and evasion evolve, rather than codifying patterns we've already seen.
Ingest new on-chain and OSINT data sources, and extract more signal from the data pipelines already integrated, including finding value in sources we aren't using yet.
Build automation that closes the gap between a signal firing and a case being assigned, removing the manual steps that slow investigators down.
Pair directly with analysts and investigators to translate their instincts and manual workflows into repeatable, auditable tooling that holds up to legal scrutiny.