HeadofAppliedAI,MarketingDataScience

WHAT WE'RE BUILDING We're empowering small teams with technology that makes it easier to market and grow businesses. Our current focus is to help consumer brands shift from "workflow automation" to "agent management" within their marketing operations. Shadow is the AI coordination layer — providing shared AI memory, centralized agent control, and model orchestration for marketing teams. WHY JOIN SHADOW? - Product Ownership You'll ship production code daily and help steer key product and technical decisions. - Shape the Engineering Culture You'll influence how we work—tools, processes, standards, and hiring. - Work with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brands—some doing $80M–$500M in revenue. THE AGENCY BEHIND THE PRODUCT Shadow is built alongside Darkroom — a performance marketing agency that's been operating for 10 years, employs 100+ people, runs 100+ clients at a time, and has worked with over 1,000 consumer brands. That's our edge: Shadow isn't a generic AI wrapper, it's a decade of real campaign tradecraft being codified into a system. Darkroom is both our proving ground and our first user. This role plugs directly into that knowledge and turns it into product. THE ROLE Part senior growth marketer, part data scientist, part applied-AI builder — you turn the way elite marketers think into the data models, metrics, and schemas that power Shadow's intelligence layer. You report directly to the CEO of Shadow. This is for someone who's spent years in the work and now wants to lean into the technology — leveraging hard-won marketing experience to build, not to manage accounts. This is not a client-facing role. WHAT YOU'LL OWN - Design the analytical models and metric logic the agent reasons with — contribution margin (CM3), acquisition truth (aMER, NCAC), cohort LTV/payback, ad spend efficiency and marginal-return analysis, incrementality testing (geo lifts, conversion-lift, MMM calibration) — from raw