This role pays less than
67%
of similar roles. Most pay
$202,361–$285,000
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$244k
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
653 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 617 roles with salary data.
The Director, AI Infrastructure Strategy & Operations - AI Experiences joins the AIX Strategy organization to manage critical infrastructure for products like Copilot, Bing, and Edge. This role focuses on the strategic planning, forecasting, and allocation of GPU capacity and related resources to support growing AI workloads. The successful candidate will build demand models incorporating product roadmaps and user growth, establish governance frameworks for resource requests, and develop quantitative business cases for investment decisions. They will collaborate with Product, Engineering, Finance, and Infrastructure teams to align infrastructure spend with outcomes like quality and efficiency. Required technical skills include proficiency in SQL, Python, Power BI, Kusto, and Excel. The role addresses the complex challenge of managing constrained hardware resources while navigating model transitions, inference requirements, and large-scale distributed systems within a fast-paced environment.
Lead forecasting and planning for GPU capacity and AI infrastructure resources across all products.
Develop demand models incorporating product roadmaps, user growth, model transitions, and workload characteristics.
Create frameworks to evaluate, prioritize, and allocate constrained infrastructure resources based on business priorities.
Drive governance processes for infrastructure requests, allocation decisions, and executive reviews.
Build quantitative models and scenario analyses to support investment and resource-allocation decisions.
Develop telemetry, reporting, and dashboards to monitor utilization, capacity, costs, and business impact.
Lead cross-organizational initiatives involving infrastructure migrations, workload transitions, and cost-optimization efforts.
Translate complex technical data into clear recommendations for executive-level communication.
What we're looking for
Master's degree plus 6 years of experience in strategy, business planning, finance, product management, operations, or program management.
Bachelor's degree plus 8 years of experience in strategy, business planning, finance, product management, operations, or program management.
6+ years of experience with AI infrastructure, cloud capacity planning, model serving, inference, training, or distributed systems.
6+ years of experience building business cases and ROI models for technology investments.
6+ years of experience partnering closely with Product, Engineering, and Finance organizations.
6+ years of experience with SQL, Python, Power BI, Kusto, Excel, or other analytical tools.
Experience operating in fast-paced, highly ambiguous environments and creating structure where processes do not yet exist.
Master's degree plus 12+ years of experience in strategy, business planning, finance, product management, operations, or program management (preferred).
Python
C++
C#
Java
JavaScript
Rust
Distributed Systems
AI/ML Infrastructure
Model Inference
GPU Computing
Data Pipelines
Query Execution
Indexing
Concurrency
Data Structures
open-source
Telemetry
Generative AI
LLM APIs
Vector Databases
Retrieval-Augmented Generation
LLMOps
Prompt Engineering
AWS Bedrock
Azure AI Services
Google Vertex AI
Data Architecture
Data Modernization
Agent Orchestration
Data Science