Responsibilities

• Represent AI builder needs
• Act as the voice of AI builders in marketplace design - ensure the platform supports a wide range of grounding use cases (chatbots, copilots, enterprise bots, search models, etc.).
• Collaborate closely with Business Development (BD) and partnership teams during demand-side negotiations to translate customer requirements into product and pricing features.
• Define and evolve access tiers, usage models, and APIs that meet enterprise and model-builder needs for quality, latency, and transparency.
• Define Grounding Value metrics
• Work with data science and applied research teams to define quantitative measures of grounding quality (e.g., accuracy uplift, hallucination reduction, factual recall, response satisfaction).
• Partner with supply PMs to translate these into value signals that inform payout to content providers.
• Design and Lead Experiments
• Drive the experiment roadmap for understanding grounding & content value, partnering with engineering and applied science teams to progress on the road to true price discovery over time.

Requirements

• Bachelor's Degree AND 8+ years experience in product/service/program management or software development
• OR equivalent experience.
• Bachelor's Degree AND 12+ years experience in product/service/program management or software development
• OR equivalent experience.

Preferred

• Deep familiarity with LLM grounding, RAG systems, or data retrieval APIs.
• Solid analytical and experimental mindset — experience running A/B or cluster experiments, defining metrics, and interpreting results.
• Background in economics, data science, or applied experimentation (e.g., causal inference, pricing models, or marketplace dynamics).
• Ability to collaborate across engineering, BD, and research functions.
• Excellent communication — able to translate technical and economic concepts into executive language.
• Drive industry partnerships, advocate for publisher interests, define common interoperability standards, and work with forums and alliances to make AI content usage scalable and sustainable.