below marketmost similar roles pay hereabove market
This role pays more than
64%
of similar roles. Most pay
$149,500–$201,558
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$176k
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
651 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 605 roles with salary data.
The Senior Software Engineering Manager joins the Microsoft AI Development Acceleration Program within the Office of the CTO to lead a team of early-career software engineers. This role involves guiding the development lifecycle, establishing engineering best practices, and recruiting a diverse team to build transformative AI-powered experiences. Key responsibilities include providing technical oversight on code implementation, architecting scalable systems, and defining APIs and data contracts. The manager will design frameworks for abstracting AI modules for platform integration while addressing LLM vs. classical Machine Learning, Retrieval-Augmented Generation, and safety guardrails. Required skills include proficiency in C, C++, C#, Java, JavaScript, or Python, along with experience in cloud architectures, Azure, and building AI or data science platforms to solve complex technical challenges and ensure Responsible AI compliance.
What does a Software Engineering Manager earn?
Median $212788 from 114 postings across 40 companies.
Provide hands-on technical guidance by reviewing designs, code implementations, and Pull Requests.
Recruit and lead a team of early-career software engineers to advance Microsoft’s AI capabilities.
Partner with internal engineering and business teams to ensure solutions meet goals and integrate into existing codebases.
Set the technical direction for AI-native security, LLM designs, RAG, and safety guardrails.
Ensure all projects comply with privacy, security, and Responsible AI guardrails from the start.
Architect a framework for the abstraction and reuse of AI modules within the Microsoft AI Platform.
Create design and validation collateral, including test automations that are reused across the program.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.
Master's Degree in Computer Science or related technical field and 6+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (preferred).
Bachelor's Degree in Computer Science or related technical field and 8+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python (preferred).
3+ years of experience as a technical lead, including mentoring and growing early-in-career software engineers (preferred).
3+ years of experience with cloud architectures (preferred).
2+ years of experience in building AI or data science platforms (preferred).
2+ years of Azure experience (preferred).
Ability to meet Microsoft, customer, and/or government security screening requirements, including a Microsoft Cloud Background Check (required).
Python
C#
Java
C++
JavaScript
Generative AI
Large Language Models
Agentic AI
Azure AI Foundry
Copilot Studio
Power Platform
Retrieval-Augmented Generation
Prompt Engineering
Distributed Systems
APIs
Observability
Data Governance
Azure
Infrastructure-as-Code
Terraform
Bicep
CI/CD
Observability
Grafana
Datadog
OpenTelemetry
Python
Java
C#
C++
C
JavaScript
Linux
Distributed Systems
Networking
Storage
Cloud-native Development
CI/CD
Test Automation
Observability
Production Operations
AI-assisted Development
Security Automation
Orchestration Platforms
Distributed Systems
SaaS
Hybrid-cloud
Secure Software Delivery