Microsoft
Principal Product Manager
- Redmond, Washington
- Hybrid
- full time
- $143k–$304k/year
- Posted today
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About the role
Overview
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
The Microsoft IQ team is building the unified intelligence layer for enterprise AI, bringing together organizational knowledge and context across Work IQ, Fabric IQ, Foundry IQ, Web IQ, and partner sources so agents can discover and use trusted context wherever they run. Our goal is to make AI more useful, accurate, and relevant by enabling organizations to connect the knowledge, data, and expertise that power their business to agents and Copilot experiences.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Responsibilities
Define product strategy, customer scenarios, requirements, and roadmap for Microsoft IQ, translating a broad vision into clear product outcomes and measurable success criteria.
Design experiences that help organizations connect, organize, discover, govern, and use business knowledge and context with AI.
Partner across Microsoft product teams to deliver cohesive experiences spanning AI, productivity, data, and developer platforms.
Work closely with engineering, design, and research to take customer scenarios from product definition through implementation, evaluation, and release.
Engage directly with customers and partners to validate product direction, identify unmet needs, and translate feedback into prioritized product improvements.
Define and use product signals, including adoption, active usage, quality, and customer outcomes, to continuously improve the product.
Embody our culture and values.
Qualifications
Required/Minimum Qualifications
Bachelor's Degree AND 8+ years experience in product/service/program management or software development
OR equivalent experience.
Job Requirements: Other & Additional
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred/Additional Qualifications
Bachelor's Degree AND 12+ years experience in product/service/program management or software development
OR equivalent experience.
4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
Experience defining and delivering enterprise cloud, data, AI, agent, or developer-platform products.
Demonstrated ability to translate ambiguous customer and partner problems into clear product strategy, requirements, scenarios, and measurable outcomes.
Experience delivering products that require collaboration across multiple engineering teams, services, platforms, and organizational boundaries.
Understanding of modern AI and agent experiences, including areas such as knowledge, context, retrieval, APIs, identity, security, and governance.
Experience engaging enterprise customers and partners to validate product direction and translate feedback into product improvements.
Ability to communicate complex technical and product concepts clearly to engineering teams, customers, partners, and senior leaders.
#AZUREDATA #AZDAT #POWERBI #AI #ONELAKE #MICROSOFTFABRIC #AZURE
Product Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $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.
Skills
- Product Strategy
- Product Roadmap
- Artificial Intelligence
- Data Engineering
- Cloud Computing
- Enterprise Software
- Stakeholder Management
- Product Lifecycle Management
- Data Analytics
- Cross-functional Collaboration
- Market Analysis
- Customer Feedback Analysis
- Product Metrics
- Governance
- Agentic AI
- Technical Communication
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