Senior SWE / ML Engineer - Identity & Audience

Design and operate pipelines that provide a coherent view of users across every data source, while owning and improving the clustering algorithm that transforms raw events into entities like users and households. Anticipate scaling pain as log volumes and advertiser usage grow, and run projects end-to-end from stakeholder requirements through design, implementation, and post-launch iteration. Build platform-level identity-resolution tooling so every team can resolve identity for the events they own, choosing architectures that scale economically and quantify cost impact. Shape and execute the roadmap for the identity stack, surfacing tradeoffs and risks without burying them in implementation detail, and translate ambiguous requests from Product, Sales, ML, and Finance into concrete deliverables.