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PatternIQ is seeking an experienced software engineer to design, build, test, deploy, and maintain scalable applications that millions of users will touch monthly. You’ll work across the full stack on a TypeScript-based system hosted in AWS, owning services end-to-end and mentoring others.
You’ll operate at the edge of AI-first tooling, help shape engineering standards, and push the boundaries of agent-assisted development while collaborating with data and product teams.
This role starts hybrid, but quickly will transition to onsite in New York City. You need to be within commuting distance or willing to relocate before you start. We are not considering fully remote candidates for this position.
PatternIQ is an AI-powered consumer world model that simulates customer behavior at civilization scale. We’re building a continuously updating model of billions of people that predicts what they want, the content they’ll engage with, what they’ll buy, and how they will respond to any changes businesses want to simulate. This is critical infrastructure for advertising, commerce, pricing, product development, and eventually any AI system making decisions about consumers.
Our ML-driven programmatic ad network, InboxMatch, delivers unique ads to unique recipients inside a publisher's email campaigns. We replace the status-quo, one-size-fits-all static placement with hyper-personalized ads powered by a self-learning recommendation engine.
We’re seed-stage and growing quickly. The culture is meritocratic and intense. We expect everyone to do their best work, raise the bar of the team they join, and act like owners. Debate is open and direct. We let data settle arguments.
You’ll design, build, test, deploy, and maintain scalable applications that millions of people will touch every month, and the infrastructure underneath them. You’ll work across the full lifecycle: system architecture, backend services, integrations, performance, reliability, and security.
You’ll also provide technical leadership. That means shaping engineering standards, reviewing code, sharing what works, and mentoring less experienced engineers.
We build AI-first. We expect you to be operating at the edge of what agentic development tools can do, and to bring the rest of the team with you.