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Principal Product Manager Architect
United States, Washington, Redmond; United States, California, San Francisco
·
On-site
·
Full-time
·
3w ago
Compensation
$139,900 - $274,800
Required Skills
AI architecture
Product management
Cloud architecture
Distributed systems
Conversational AI
Multi-agent patterns
Overview:
Microsoft is transforming how the world works with AI and reshaping human productivity for the next generation. The Copilot ecosystem is at the center of this shift. Our team builds advanced AI agents on the Microsoft 365 and Azure AI platforms. We partner with innovative enterprise customers to incubate new platform capabilities, validate frontier agent scenarios, and accelerate adoption of modern AI architectures.
We are hiring a Principal Product Manager Architect who brings deep technical skills, thought leadership, and experience with emerging AI technologies. This role is ideal for a product leader who wants to operate on the frontier of agentic AI, guide customers through advanced architectural choices, and shape the next wave of platform capabilities.
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.
Responsibilities:
Architect the next generation of AI agents
- Provide technical architecture guidance across agentic workflows, grounding strategies, tool integration, retrieval pipelines, multi agent patterns, and orchestration models.
- Advise customers on optimum AI agent architectures across data surfaces, security boundaries, extensibility points, and operational requirements.
- Partner closely with engineering teams to validate architectural patterns and influence platform capabilities.
Lead customer innovation and early adopter engagements
- Drive architectural design sessions for bleeding edge agent scenarios with strategic enterprise customers.
- Partner with Forward Deployed Engineering and Builder PM teams to validate new platform capabilities and pilot frontier agent patterns.
- Serve as a trusted advisor in customer conversations focused on complex AI implementations.
Shape platform direction and ecosystem strategy
- Track emerging AI tooling, modern agent frameworks, orchestration engines, retrieval innovations, and competitive LLM ecosystems.
- Represent customer evidence, architectural insights, and ecosystem gaps to engineering teams to shape long term platform investments.
- Prototype architectural frameworks, templates, and best practices that accelerate adoption across the ecosystem.
Influence internal and external thought leadership
- Evangelize modern AI architectures and agent capabilities internally and externally.
- Contribute to executive reviews, industry forums, and community engagements focused on next generation AI solutions.
Qualifications Required Qualifications:
- Bachelor's Degree AND 8+ years experience in product/service/program management or software developmentOR equivalent experience.
- Demonstrable hands-on experience building with modern AI tooling including agent frameworks, orchestration engines, retrieval pipelines, and leading LLM ecosystems.
- Experience designing enterprise AI scenarios using Microsoft 365 Copilot extensibility, Copilot Studio, Graph Connectors, or Azure AI.
- Technical depth in cloud architecture, distributed systems, enterprise application design, and modern AI architectural concepts.
- Experience with conversational AI, autonomous workflows, multi-agent patterns, grounding strategies, and evaluation approaches.
- Ability to operate in ambiguous environments, make clear decisions, and collaborate effectively across engineering, design, research, and field organizations.
- Strong written, verbal, and visual communication skills across technical and executive audiences.
- Ability to define metrics, use analytics, and drive data-informed product direction.
Other Requirements:
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 Qualifications:
- Relevant university degree in computer science, software engineering, artificial intelligence, or similar field.
- Recent experience with generative AI architectures, agent toolchains, retrieval strategies, or competitive AI platforms.
- Experience in rapid prototyping, incubation programs, or customer-focused innovation work.
- Familiarity with the Microsoft technology stack including M365 extensibility patterns, Copilot Studio agent building, Azure OpenAI, and custom toolchain integration.
- Experience influencing engineering roadmaps using customer signals and architectural insights.
#BICJobs
#CAPE
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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About Microsoft
Reviews
3.8
5 reviews
Work Life Balance
4.1
Compensation
4.3
Culture
3.4
Career
3.2
Management
3.0
65%
Recommend to a Friend
Pros
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
Salary Ranges
5,571 data points
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Director
Mid/L4 · Program Manager
0 reports
$191,472
total / year
Base
$146,773
Stock
$26,238
Bonus
$18,461
$138,474
$273,204
Interview Experience
7 interviews
Difficulty
3.7
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 29%
Negative 57%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Onsite/Virtual Interviews
6
Final Round
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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