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Principal Product Manager - Publisher Content Marketplace

United States, Redmond 139900.00 - 274800.00 USD / Year · Job Posted March 22, 2026
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Job Description

We’re building a first-of-its-kind Content Marketplace that connects AI builders (LLMs, copilots, chatbots, enterprise AI apps) with high-quality content and data sources in real time. The marketplace enables LLMs to ground their responses in fresh, authoritative, and diverse content while ensuring publishers and creators are fairly rewarded. This role sits at the intersection of product, economics, and experimentation - ideal for a PM who enjoys building 0 to 1, is a self-starter and thrives in ambiguity.

Job Responsibility

  • 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.
  • 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.

Nice to have

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

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