Software Engineering Manager - Order Fulfillment Software Factory

GM • Austin, TX

3d • Hybrid

About The Position

The Order Fulfillment Software Factory delivers GM’s end-to-end software for two value streams: Source to Deliver (purchasing, supplier management, supply chain, and logistics) and Order to Deliver (vehicle sales, configuration, scheduling, and delivery). The factory is advancing GM’s SaaS First, Cloud First, and AI First direction, working closely with other GM IT teams and factories. This is a player-coach role for a Software Engineering Manager who codes, leading a team of approximately 6–12 engineers. The manager will be the team’s technical anchor, responsible for scoping problems, designing systems, and shipping code alongside their team. A key focus will be making agentic AI coding the default method for building, testing, and operating software. The role requires approximately 30–40% hands-on coding, system design, prototyping, and daily work with AI coding agents. The manager will set the team’s technical direction and be accountable for its delivery, quality, and growth.

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.
• 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.
• Experience with APIs and microservices.
• Experience with modern CI/CD, code review, and source control practices.

Nice To Haves

• 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.
• Experience 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.

Responsibilities

• Lead the team’s delivery and direction by translating factory strategy into clear objectives and operating plans.
• Allocate resources, delegate work, and reprioritize based on changing business needs.
• Own team metrics and KPIs, including delivery, quality, reliability, and business outcomes.
• Drive strategy and implementation for large projects affecting multiple departments and business partners.
• Tie technical initiatives to key business objectives and build the 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, including those skeptical of new approaches.
• Be accountable for workforce planning and operational and financial decisions, including cloud and AI tooling spend.
• Act as the technical lead for the team’s workstream, writing, reviewing, and merging production code.
• Design software systems and define architecture for team-level projects.
• Participate in architecture reviews across the factory.
• Guide engineers in scoping complex problems and developing creative solutions.
• Be the team’s go-to resource for technology, cross-team interfaces, and company policies.
• Propose new technology with forward-looking impact on product experience, quality, and time to market.
• Own operational excellence, including participating in on-call, leading incident response and postmortems.
• Make AI coding agents part of everyday work across planning, implementation, testing, code review, refactoring, documentation, and operations.
• Build and maintain the team’s agent setup, including repository-level instructions, reusable prompts, tool integrations, and CI pipelines for automated reviews and testing.
• Set guardrails for agent-generated code to ensure safety, including test coverage, human-review standards, sandboxing, and data handling.
• Use agents to modernize legacy systems, such as generating test harnesses and running automated migrations.
• Track impact through measures like cycle time, change-failure rate, and defect escape rate.
• Share best practices with peer teams and help establish factory-wide practices.
• Hire engineers and make staffing decisions to build the right talent mix.
• Hold regular one-on-ones and career conversations with engineers.
• Plan people resources for engineer growth and assign work based on 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.
• Champion change management as the team adopts agentic development.
• Role-model GM’s Behaviors while making room for individuality and diverse perspectives.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager