Descripción

The Role

The Order Fulfillment Software Factory delivers GM’s end-to-end software for two value streams. Source to Deliver covers purchasing, supplier management, supply chain, and logistics. Order to Deliver covers how GM sells, configures, schedules, and delivers vehicles to dealers and customers. The factory is advancing GM’s SaaS First, Cloud First, and AI First direction. It works closely with GPSC Business Area IT, Sales and Marketing Business IT, and GM’s peer software engineering, mainframe, and SAP factories to deliver consistent, modern solutions at speed.

We’re looking for a Software Engineering Manager who codes. You’ll lead a team of approximately 6–12 engineers with a mix of skills, sometimes including a technical lead or first-line lead, that owns a product or service area such as Vehicle Order Management, Order Scheduling, or Global Logistics. You’ll 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. We expect you to spend approximately 30–40% of your time hands-on, including writing and reviewing production code, designing systems, prototyping, and working daily with AI coding agents. You’ll set your team’s technical direction and be accountable for its delivery, quality, and growth.

What You’ll Do

Lead the Team’s Delivery and Direction

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, and make measurable contributions to the factory’s goals.
Drive strategy and implementation for large projects that affect multiple departments and business partners, including GPSC, dealers, and suppliers.
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, including cloud and AI tooling spend.

Lead Hands-On

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, including services, APIs, event-driven integrations, data models, and SaaS/ERP integrations. 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, with forward-looking impact on product experience, quality, and time to market.
Own operational excellence. Participate in on-call, lead incident response and postmortems, and deliver high-quality work on schedule, with quality as the priority.

Make Your Team Agent-Native

Make AI coding agents, such as Claude Code, GitHub Copilot agent mode, and Cursor, part of everyday work across planning, implementation, testing, code review, refactoring and migrations, documentation, and operations.
Build and maintain the team’s agent setup, including repository-level agent instruction and context files, reusable prompts and skills, MCP and other tool integrations with internal systems, and CI pipelines that run agents for automated pull-request review, test generation, and dependency upgrades.
Set guardrails so agent-generated code is safe to ship, including test coverage and evaluation checks, human-review standards, sandboxing and permissions, secret and data handling, and provenance checks.
Use agents to modernize legacy order and supply chain systems faster, for example by generating test harnesses for legacy code, running automated migrations, and documenting undocumented systems.
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.

Build and Grow the Team

Hire engineers and make internal and external staffing decisions to build the right mix of talent and experience.
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, and to 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.

Your Skills & Abilities (Required Qualifications)

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.

What Can Give You a Competitive Advantage (Preferred Qualifications)

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.
Master’s degree in Computer Science or a related field.

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. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

Los beneficios de reubicación están disponibles para los candidatos que califican según la política de la empresa.

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar. Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido.

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.