Principal Product Manager

On a typical day, you might

• Build and mature the Context Layer by defining the structured intelligence architecture that gives Active Intelligence a deep understanding of each customer's goals, brand, and audience behavior .
• Architect the Deep Reasoning Agent using frontier model capabilities (extended thinking, multi-step research) to deliver deep analytical insights that make static reporting obsolete .
• Connect the product flywheel to ensure a continuous loop where richer context drives more powerful reasoning, fueling deeper user engagement .
• Design robust evaluation frameworks , golden sets, and quality rubrics to rigorously grade agent outputs and establish the bar for true "marketing-grade intelligence" .
• Operate as a technically credible builder , prototyping directly with frontier models and testing prompt architectures as a peer to our applied AI and ML engineers .
• Collaborate cross-functionally across data/ML teams, the agent platform, and the broader product organization to move people and align goals without relying on positional authority .
• Drive continuous improvement in model behavior and data structures, balancing technical elegance with ultimate customer value .

The ideal candidate will bring

• Significant product management experience with a track record of building and scaling AI/ML-powered products in production, moving far beyond mere proofs of concept .
• Direct production experience with frontier AI models and agentic architectures, knowing firsthand what fails in production versus what works in a demo .
• A proven technical foundation in shaping data platforms, context systems, or structured intelligence layers, with the ability to engage deeply on system architecture and data models .
• An eval-driven quality mindset , having successfully designed evaluation frameworks and feedback loops that separate "demo-ware" from highly reliable production intelligence .
• First-principles thinking and a history of defining new product categories in highly ambiguous domains where no playbook exists .
• An ownership mentality driven by founder-level autonomy—someone who builds prototypes, identifies gaps, and ships end-to-end solutions without waiting for permission .
• Prior experience in Marketing Technology (MarTech) or customer engagement platforms, bringing deeply formed opinions about what marketers actually need .