Principal Product Manager

ActiveCampaign is the autonomous marketing platform for people at the heart of the action. As the Principal Product Manager - AI Context & Reasoning, you will manage the development of the context intelligence layer and deep reasoning agent, ensuring that the company's AI products deliver unique marketing insights.

Responsibilities:

• 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

Requirements:

• 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