This role pays less than
82%
of similar roles. Most pay
$184,125–$246,334
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$215k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
644 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 624 roles with salary data.
Senior Product Manager - AI Infrastructure Competitive Strategy joins the Systems Planning and Architecture team within the Azure Hardware Systems and Infrastructure organization. This role focuses on leading competitive analysis for Azure’s Maia, Cobalt, and broader AI infrastructure roadmaps. The successful candidate will evaluate rapidly evolving cloud technologies, including AI accelerators, CPUs, memory, networking, storage, and rack-scale systems to inform product planning and architecture decisions. Day-to-day responsibilities involve developing analytical models for performance, power, cost, and total cost of ownership while synthesizing technical inputs from engineering, finance, and sourcing teams into actionable recommendations. The role requires expertise in semiconductors, computer systems, or cloud infrastructure to navigate complex hardware ecosystems. Key skills include structured problem-solving, quantitative analysis, and the ability to translate complex technical data regarding silicon architecture and supply chains into clear insights for senior leadership.
What does a Product Manager earn?
Median $199550 from 397 postings across 74 companies.
Lead competitive assessments of AI accelerators, CPUs, memory, networking, storage, and rack-scale infrastructure for Azure roadmaps.
Evaluate competitor and industry roadmaps regarding architecture, performance, power, and supply-chain dependencies.
Develop analytical models to assess platform competitiveness and total cost of ownership based on technical specifications and workload performance.
Synthesize engineering data, financial models, and market research into a consistent view of the competitive landscape.
Identify key technology decision points across silicon architecture and system design to inform future product development.
Partner with cross-functional teams to evaluate trade-offs and align assumptions across different business units.
Translate complex technical information into clear insights and actionable recommendations for senior leadership.
Establish repeatable analysis mechanisms and dashboards to improve the consistency of competitive and cost information.
What we're looking for
Bachelor's Degree and 5+ years of experience in product/service/program management or software development (or equivalent).
Ability to meet Microsoft, customer, and government security-screening requirements.
Master’s Degree in Electrical Engineering, Computer Engineering, Computer Science, Business Administration, Finance, or a related field (preferred).
8+ years of experience in cloud infrastructure, semiconductors, AI systems, datacenter hardware, product strategy, competitive analysis, or management consulting (preferred).
Experience evaluating complex technology products and translating technical information into business or investment recommendations (preferred).
Experience applying structured problem-solving to complex questions using quantitative and qualitative analysis (preferred).
Experience with quantitative analysis such as performance benchmarking, cost modeling, TCO, market analysis, or financial modeling (preferred).
Experience in management consulting, corporate strategy, or technology strategy focused on cloud infrastructure, semiconductors, or AI systems (preferred).
AI
Cloud Infrastructure
Distributed Systems
Platform Engineering
Software Development
Automation
Telemetry
Lifecycle Management
Technical Program Management
Architecture
AI
HPC
Data Center Infrastructure
System Architecture
Firmware
Drivers
Software Stack
ROCm
Benchmarking
Systems Engineering
Product Management
Technical Product Management
AI
HPC
Data Center Infrastructure
Firmware
Drivers
ROCm
System Architecture
Benchmarking
Hardware
Software Stack
Product Management
Systems Engineering
Technical Product Management