Senior Manager, Commercial Software Engineering

General Motors (GM); Warren (MI); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work environment

Job summary

General Motors in Warren, MI is seeking a Senior Software Engineering Manager to lead multiple engineering teams across Commercial OnStar and API areas, shaping strategy and delivering reliable, scalable software.

You will collaborate with product, vehicle data, infrastructure, security, privacy, and sales to drive measurable business outcomes, while developing leaders and advancing modern cloud platforms and AI-enabled developer processes.

Qualifications

• Bachelor's degree in computer science, engineering, information systems, or related technical field, or equivalent experience.
• 12+ years of experience in software engineering, technology, or related fields, including significant experience delivering large-scale software solutions.
• 5+ years of experience leading software engineering teams, including managers, senior technical leaders, and/or teams of teams.
• Demonstrated experience leading engineering organizations of roughly 30+ engineers (ICs and managers), including hiring, performance management, coaching, and organizational design.
• Demonstrated experience setting strategy and delivering complex, cross-functional software platforms or customer-facing products on-time.
• Strong technical knowledge of cloud platforms, distributed systems, APIs, data platforms, mobile/web applications, software architecture, security, and service reliability.
• Utilization of AI within developer lifecycle, business processes, and product development.
• Experience operating business-critical services, including production readiness, observability, incident management, service-level objectives, and continuous improvement.
• Demonstrated success hiring, developing, and retaining engineering managers and senior technical talent.
• Strong executive communication, influence, negotiation, prioritization, and decision-making skills.

Responsibilities

• Define and communicate the engineering strategy, roadmap, and operating plan for Commercial OnStar products and Commercial APIs.
• Lead multiple engineering teams through managers and senior technical leaders, establishing clear ownership, decision rights, priorities, and measures of success.
• Drive improvements in customer adoption, retention, revenue, onboarding, API usage, data quality, and service reliability.
• Use data and feedback to make tradeoffs, prioritize projects, and course-correct.
• Ensure strong team execution focused on urgency, iteration, consistency, and learning.
• Guide architecture, modernization, technical debt reduction, production readiness, observability, incident response, and service-level performance.
• Build effective partnerships across vehicle data, vehicle communications, middleware, infrastructure, consent, onboarding, billing, security, and privacy teams.
• Represent Commercial Software Engineering in executive discussions, major customer and partner engagements, and enterprise-level decisions.
• Attract, develop, and retain engineering leaders and technical talent while building a strong succession pipeline.
• Demonstrate managerial courage to challenge the status quo, simplify complex systems, and define creative solutions in a rapidly evolving software ecosystem.

Skills

Leadership

Cloud platforms

APIs

Data platforms

Security

Observability

Incident management

Software architecture

Executive communication

AI in dev lifecycle

Education

Bachelor's degree in CS/engineering/IS or related field

Tools

AWS

Azure

Kubernetes

Docker

Job description

General Motors in Warren, MI is seeking a Senior Software Engineering Manager to lead multiple engineering teams across Commercial OnStar and API areas, shaping strategy and delivering reliable, scalable software.

You will collaborate with product, vehicle data, infrastructure, security, privacy, and sales to drive measurable business outcomes, while developing leaders and advancing modern cloud platforms and AI-enabled developer processes.