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About the Role

We are looking for a Software Engineering Manager who codes to lead a team of approximately 6–12 engineers. You will be the team’s technical anchor, scoping complex problems, designing systems, and shipping alongside your engineers. You’ll also make agentic AI coding the default way your team builds, tests, and operates software. This is a player-coach role, expecting approximately 30–40% of your time to be hands-on.

Responsibilities

Turn the factory’s strategy into clear direction, objectives, and operating plans for your team.
Allocate resources, delegate work, and reprioritize as business needs change.
Own your team’s metrics and KPIs, including delivery, quality, reliability, and business outcomes.
Make measurable contributions to the factory’s goals.
Drive strategy and implementation for large projects that affect multiple departments and business partners.
Tie technical initiatives to key business objectives and begin building your area’s technology roadmap with Product Management.
Handle competing demands, sensitive situations, and conflicts within the team and with other teams.
Build alignment with stakeholders who are skeptical of new approaches.
Be accountable for workforce planning and operational and financial decisions in your area.
Act as the technical lead for your team’s workstream.
Write, review, and merge production code for critical-path features, complex defects, and proofs of concept.
Design software systems and define architecture for team-level projects.
Participate in architecture reviews across the factory.
Guide engineers as they scope complex problems and develop creative, pragmatic solutions.
Be the team’s go-to resource for technology, cross-team interfaces, and company policies and processes.
Propose new technology that changes how the business works.
Own operational excellence.
Participate in on-call, lead incident response and postmortems.
Deliver high-quality work on schedule, with quality as the priority.
Make AI coding agents part of everyday work across planning, implementation, testing, code review, refactoring and migrations, documentation, and operations.
Build and maintain the team’s agent setup.
Set guardrails so agent-generated code is safe to ship.
Use agents to modernize legacy order and supply chain systems faster.
Track impact through measures such as cycle time, change-failure rate, defect escape rate, and developer experience.
Share what works with peer teams and help establish factory-wide practices.
Hire engineers and make internal and external staffing decisions.
Hold regular one-on-ones and career conversations.
Plan people resources so engineers continue to grow, and assign work that plays to each person’s strengths.
Run performance management, including goal setting, feedback, calibration, and addressing underperformance.
Apply company policies consistently and fairly.
Coach engineers to direct, verify, and own AI-generated work.
Maintain a high bar for everything they merge.
Champion change management as the team adopts agentic development.
Role-model GM’s Behaviors while making room for individuality and diverse perspectives.

Requirements

Bachelor of Science or Bachelor of Applied Science in Computer Science, Computer Engineering, Mathematics, Information Technology, Information Security, Cybersecurity, or a related field plus 6–9 years of relevant experience; or 10–12 years of full-time relevant experience.
At least 2 years of experience managing a team of software engineers with varied skill levels, including hiring, coaching, and performance management.
At least 3 years of experience designing and architecting new and existing systems for reliability and scale.
Current, hands-on coding proficiency in one or more of Java, Python, TypeScript/JavaScript, Go, C#, or Kotlin.
Candidates will be asked to code during the interview process.
At least 1 year of daily hands-on use of AI coding assistants or agents in real development work, with concrete examples of what worked, what did not, and why.
Experience with cloud platforms such as Azure, AWS, or GCP; APIs and microservices; and modern CI/CD, code review, and source control practices.
At least 3 years of engineering management experience, or experience leading a team that included other leads.
Domain experience in order management, supply chain, procurement, logistics, dealer or retail systems, or e-commerce fulfillment.
Experience integrating with SaaS and ERP platforms, such as SAP or Salesforce, and with event streaming and messaging technologies, such as Kafka.
Experience modernizing legacy or mainframe systems into cloud-native services.
Experience building on LLM APIs and agent tooling, including tool or function calling, Model Context Protocol (MCP), prompt and context engineering, and evaluation harnesses.
Experience with Agile or SAFe delivery, including PI planning and working across Agile Release Trains.
GM does not provide immigration-related sponsorship for this role.
Do not apply for this role if you will need GM immigration sponsorship now or in the future.
Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.

Skills

Java
Python
TypeScript/JavaScript
Go
C#
Kotlin
Azure
AWS
GCP
APIs
Microservices
CI/CD
Code Review
Source Control
Order Management
Supply Chain
Procurement
Logistics
Dealer Systems
Retail Systems
E-commerce Fulfillment
SaaS Integration
ERP Integration
SAP
Salesforce
Event Streaming
Messaging Technologies
Kafka
Legacy System Modernization
Mainframe Modernization
Cloud-Native Services
LLM APIs
Agent Tooling
Tool/Function Calling
Model Context Protocol (MCP)
Prompt Engineering
Context Engineering
Evaluation Harnesses
Agile Delivery
SAFe Delivery
PI Planning
Agile Release Trains

Location

Hybrid

Work Type

Hybrid

Experience Level

6-9 years relevant experience
10-12 years full-time relevant experience
2 years managing a team
3 years designing and architecting systems
1 year daily hands-on use of AI coding assistants
3 years engineering management experience (preferred)
Experience leading a team that included other leads (preferred)

Education Level

Bachelor of Science or Bachelor of Applied Science in Computer Science, Computer Engineering, Mathematics, Information Technology, Information Security, Cybersecurity, or a related field
Master’s degree in Computer Science or a related field (preferred)

Benefits

Relocation benefits are available for candidates who qualify under company policy.
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

About the Company

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our actions and our culture.
Every day, we want every employee to feel they belong to one General Motors team.

Equal Opportunity

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
General Motors offers opportunities to all job seekers including individuals with disabilities.
If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580.
In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.