Staff Software Engineer, AI-Accelerated Digital Commerce

GM•Sunnyvale, CA

2d•Hybrid

About The Position

Our team builds the digital commerce experiences that support how customers discover, buy, subscribe to, and manage GM products and services. We work across qualification, catalog, cart, checkout, billing, payments, subscriptions, orders, and customer account journeys, partnering closely with product, design, architecture, and operations teams to deliver reliable, scalable experiences. We are looking for engineers who pair strong software fundamentals with practical AI-assisted development habits to move faster, raise quality, and help the broader team work better. The role We are hiring a Staff Software Engineer with demonstrated ability to use AI as a force multiplier for software development in digital commerce environments. This role is ideal for a highly technical engineering leader who can use AI-assisted workflows to improve delivery speed and quality, shape reliable low-latency services and architectures, and raise team productivity through stronger engineering practices, reusable patterns, and technical leadership.

Requirements

At least 8-10 years of strong coding, debugging, and code review skills with the credibility to lead through technical depth
7+ years API and system design capability with sound tradeoff judgment
Practical use of AI across coding, testing, debugging, documentation, and understanding existing codebases, APIs, architecture, and technical documentation
Ability to use AI with structured engineering practices such as specs, reviews, tests, and observability
Hands-on experience across relevant technologies such as React, Next.js, Node.js, Java, and modern web application architecture
Strong engineering excellence in test automation, operational automation, and DevOps practices
Ability to balance performance, reliability, maintainability, and cost while improving team delivery

Nice To Haves

Experience in digital commerce or other customer-facing digital platforms
Experience in areas such as qualification, checkout, billing, payments, subscriptions, orders, catalog, cart, or customer account flows
Exposure to commerce platforms or vendors such as Shopify or similar ecosystems
Exposure to technologies or patterns such as Model Context Protocol (MCP), LangChain, retrieval-augmented generation (RAG) patterns, vector databases, AI agents, or evaluation frameworks
Experience helping teams experiment with and adopt newer AI development workflows without overengineering the solution

Responsibilities

Lead the design and evolution of customer-facing digital commerce systems across areas such as qualification, checkout, billing, payments, subscriptions, catalog, cart, orders, and customer account journeys
Use AI-assisted workflows to accelerate implementation, code review, testing, debugging, and documentation, while setting the standard for safe and effective adoption
Evaluate AI output for correctness, security, maintainability, and production readiness, and help teams apply strong judgment in where AI adds value
Drive architecture and API decisions across modern web applications and services built with technologies such as React, Next.js, Node.js, Java, and related frameworks
Improve engineering excellence through stronger design reviews, testing strategy, automation, observability, and DevOps practices
Build reusable workflows, patterns, and guidance that improve productivity across engineers and teams
Partner across product, design, architecture, platform, and operations to align technical direction with business priorities
Coach engineers and influence technical execution beyond direct code contributions