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Principal Product Manager - Publisher Content Marketplace
United States, Washington, Redmond
·
On-site
·
Full-time
·
1mo ago
Overview:
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.
- We’re looking for a Principal Product Manager
- Publisher Content Marketplace - to own and represent the needs of our AI consumers — from large model providers to independent builders. You will define how AI systems access, value, and pay for grounding content, and ensure that marketplace pricing, policies, and performance are shaped by measurable demand-side outcomes.
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.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
- 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.
Qualifications:
Required Qualifications:
- Bachelor's Degree AND 8+ years experience in product/service/program management or software developmentOR equivalent experience.
Preferred Qualifications:
- Bachelor's Degree AND 12+ years experience in product/service/program management or software developmentOR 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.
#MicrosoftAI
Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Microsoftについて

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
従業員数
Redmond
本社所在地
$3000B
企業価値
レビュー
4.4
10件のレビュー
ワークライフバランス
3.2
報酬
4.1
企業文化
4.3
キャリア
3.8
経営陣
4.0
82%
友人に勧める
良い点
Cutting-edge technology and innovative projects
Great team culture and collaborative atmosphere
Excellent benefits and competitive compensation
改善点
Heavy workload and frequent overtime
High expectations and stressful environment
Bureaucratic processes can be slow
給与レンジ
5,620件のデータ
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Director
Mid/L4 · Program Manager
0件のレポート
$191,472
年収総額
基本給
$146,773
ストック
$26,238
ボーナス
$18,461
$138,474
$273,204
面接体験
1件の面接
難易度
4.0
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 0%
ネガティブ 100%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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