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 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.
• Direct production experience with frontier AI models and agentic architectures.
• A proven technical foundation in shaping data platforms, context systems, or structured intelligence layers.
• An eval-driven quality mindset, with experience designing evaluation frameworks and feedback loops.
• First-principles thinking and a history of defining new product categories in highly ambiguous domains.
• An ownership mentality driven by founder-level autonomy.
• Prior experience in Marketing Technology (MarTech) or customer engagement platforms.