Principal Product Manager

About the role

Active Intelligence is already live — autonomous agents serving 180,000+ businesses, with real traction and a roadmap that gets more ambitious with every release. What we need now is the product leader who accelerates the layer that makes all of it smarter. This is a principal-level IC role focused on two connected problem spaces: the context intelligence layer that gives Active Intelligence its depth, and the deep reasoning agent that turns that depth into marketing insight no other platform can deliver. You’ll work alongside our Head of Applied AI, Head of Active Intelligence Engineering, an

Requirements

• Exceptional product taste grounded in technical depth. You combine sharp instincts for what makes an experience genuinely useful with the technical credibility to engage deeply on system architecture,
• Eval-driven quality mindset. You know that shipping AI features is easy and shipping reliable AI features is the actual job. You’ve designed evaluation frameworks, defined quality bars, and built the
• Customer value over technical elegance. You instinctively ask “what does this unlock for the marketer?” first. You’ve seen infrastructure projects lose their way and you know how to keep shipping thin
• Ownership mentality that doesn’t wait for permission. You operate with founder-level drive — you see the gap, you build the prototype, you make the case, you ship it. Your growth here is defined by yo
• First-principles thinking in ambiguous domains. These problem spaces don’t have playbooks to copy. You define categories, not follow them.
• Cross-functional gravity. You move people without positional authority — because the thinking is sharp, the framing is right, and the judgment is trusted. You work at the intersection of data/ML, the
• Significant product management experience, with meaningful time building AI/ML-powered products in production at scale — not proofs of concept, production systems serving real users.
• Direct experience shaping data platforms, context systems, or structured intelligence layers — you’ve made consequential decisions about what data to capture, how to structure it, and how to make it u