Software Engineering Manager Order Fulfillment Software Factory

Job Description

The Order Fulfillment Software Factory delivers GMs 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 GMs SaaS First Cloud First and AI First direction. It works closely with GPSC Business Area IT Sales and Marketing Business IT and GMs peer software engineering mainframe and SAP factories to deliver consistent modern solutions at speed.

Were looking for a Software Engineering Manager who codes. Youll lead a team of approximately 612 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. Youll be the teams technical anchor: scoping complex problems designing systems and shipping alongside your engineers. Youll 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 3040% of your time hands-on including writing and reviewing production code designing systems prototyping and working daily with AI coding agents. Youll set your teams technical direction and be accountable for its delivery quality and growth.

• Turn the factorys strategy into clear direction objectives and operating plans for your team. Allocate resources delegate work and reprioritize as business needs change.
• Own your teams metrics and KPIs including delivery quality reliability and business outcomes and make measurable contributions to the factorys 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 areas 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.

• Act as the technical lead for your teams 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 teams 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 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 teams 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.

• 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 persons 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 GMs Behaviors while making room for individuality and diverse perspectives.

• Bachelor of Science or Bachelor of Applied Science in Computer Science Computer Engineering Mathematics Information Technology Information Security Cybersecurity or a related field plus 69 years of relevant experience; or 1012 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.
• Masters 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). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager. Relocation benefits are available for candidates who qualify under company policy.

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