Principal Product Manager

Partner with Applied AI Teams to Build the Context Layer. Define and ship the structured intelligence layer that gives Active Intelligence deep understanding of each customer’s business — their goals, brand, audience behavior, campaign history, and what’s actually working. This is the signal architecture that turns 20+ years of marketing data into something every agent on the platform can reason over. You lead how context matures, what signals matter, and how it compounds across the product.

Build the Deep Reasoning Agent. Leverage frontier model capabilities — extended thinking, multi-step research, cross-source synthesis — to create a marketing intelligence agent that actually thinks about what’s happening. Not dashboard summaries. Deep analysis: why engagement shifted, what top-performing segments share, where the next campaign should focus and why. You define what “deep” means in a marketing context and ship something that makes static reporting feel obsolete.

Connect the flywheel. The reasoning agent without context is a wrapper. The context layer without a flagship consumer is infrastructure. You own the loop where deeper context produces more powerful reasoning, which drives more engagement, which generates richer context.

Own quality and evaluation. Design the eval frameworks — golden sets, quality rubrics, output grading — that determine whether the reasoning agent is actually good, not just impressive in a demo. You set the bar for what “marketing-grade intelligence” means and build the measurement systems to hold it.

Operate as a technically credible builder. You prototype with frontier models directly, test prompt architectures, and challenge engineering on system design — not because you want to do their job, but because the best product decisions at this layer require that depth. You’re credible enough to pair with applied AI and ML engineers as a peer, and you have the product judgment to know when technical elegance is serving the customer and when it’s not.