Principal Product Manager - Publisher Content Marketplace

Redmond, WA (Hybrid)

$140K/yr – $304K/yrSenior Level8+ years expFull time

Posted 3 months ago

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Job Summary

Own the product strategy for grounding, pricing, and marketplace design for AI content with a focus on enterprise and model-builder needs.

  • Must-have: 8+ years in product/service/program management or software development (or equivalent).
  • Standout: Cross-functional leadership with BD, research, and engineering and defined grounding metrics.

Job Description

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.

Preferred

  • Bachelor's Degree AND 12+ 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.
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Microsoft

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Founded in 1975
Redmond, Washington, US
237K employees (11,715 in marketing)

Traffic Signals

Monthly Visitors
1.3B
Monthly Google Ads Budget
$5.2M
Traffic Source Mix
Search
33.6%
Direct
56.9%
Referral
7.3%
Social
0.4%
Paid
1.2%

Headcount Trend

Current headcount: ~225.8K

Marketing Team

Marketing Team Size
6,377 (3% of company)
Median Career Experience
21 years
Median Tenure
14 years
Marketing Roles Posted (Last 30 Days)
44

Funding

Total Funding
$1M
Last Raise
$1M
Post IPO Equity, 3 years ago

Funding History

  • Dec 2022
    Post IPO Equity
  • Jan 2020
    Post IPO Equity
  • Sep 1981
    Series Unknown • $1M

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