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. The majority of your time (roughly 75%) is spent on the product: designing the metric logic, data schemas, and analytical models Shadow’s agents reason with, and working directly with marketing teams to translate what they actually do into structure the product can act on.
The remaining time (roughly 25%) is spent on measurement of live media programs — guiding incrementality testing, power analysis, and MMM work, and partnering with Paid Media and Growth Strategy to turn test results into budget decisions.
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. The product side of this role is not client-facing; the measurement side is internal-facing too, working through Darkroom’s own media teams rather than owning client relationships directly.
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.
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.