Job Description
Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center 3-4 days per week (T-W-Th) Who We Are We are the Brands & Marketing Software Engineering Team within the Digital Products Engineering (DPE) organization at GM. Our team collaborates closely with marketing leaders from across GM to build easy-to-use tooling that powers engaging and innovative customer experiences at scale — including AI-powered discovery and search experiences — while providing meaningful value to our customers through a seamless customer journey. Our mission is to rapidly and relentlessly ideate, iterate, and launch the next generation of innovative solutions to connect GM with current and future customers, increasingly leveraging Google Cloud Platform (GCP) and Vertex AI Search to deliver intelligent, personalized digital experiences. Our team comprises industry-leading software and quality engineers, who utilize a variety of innovative development methodologies and technologies to achieve breakthrough results, drive innovation, and delight customers. The Role We are looking for an exceptional Senior Software Engineer (Full Stack Web) who is excited about building high-impact web products across General Motors and designing intelligent search and discovery capabilities on Google Cloud Platform using Vertex AI Search. You will be responsible for helping lead our engineering efforts across planning, design and architecture, execution, and ramp — with a particular emphasis on: Building modern web applications that integrate with GCP-native services Designing and implementing AI-powered search experiences leveraging Vertex AI Search Collaborating with product, marketing, and data/ML partners to experiment, measure, and continuously improve search relevance and customer engagement As a technical leader on the team, you will mentor less experienced engineers, build strong relationships with technical leaders on other teams, and help evolve our engineering culture and best practices. What You'll Do Develop competency across our complete web technologies stack (client, framework, and services). Produce high quality software that is unit tested, reviewed, and checked in regularly for continuous integration and deployment. Serve as a tech lead, actively mentoring other engineers on the team and helping drive technical decisions and tradeoffs. Investigate and resolve performance bottlenecks across the full stack, including browser, edge, and cloud services. Lead efforts to automate testing, quality gates, and delivery pipelines, with a strong focus on reliability and observability. Work on API, Content Management, edge, and cloud systems that power GM brand and marketing experiences. Leverage your technical leadership to ensure we adhere to engineering best practices and evangelize opportunities to improve engineering productivity, and craftsmanship. With a specific focus on Google Cloud Platform and Vertex AI Search, you will: Design and build web applications and services on GCP, leveraging services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, and BigQuery where appropriate. Implement and integrate Vertex AI Search to power intelligent search, semantic retrieval, and content discovery across GM's digital products (e.g., marketing sites, owner experiences, support content). Define and evolve search schemas, indexing pipelines, and relevance signals (e.g., metadata, event telemetry, personalization signals) to continuously improve search quality and user satisfaction. Collaborate with data science and ML partners to productionize and iterate on search and recommendation models using Vertex AI, including experimentation frameworks and A/B tests. Build robust, secure APIs and backend services that expose search and recommendation capabilities to web and mobile clients. Partner with product and UX to design search-centric user experiences (autocomplete, facets, filters, recirculation modules, recommendations, etc.) informed by analytics and experimentation. Lead the design and development of an enterprise-wide search platform that unifies discovery across brands, channels, and content sources, starting with a Vertex AI Search–based implementation. Define clear abstraction layers, contracts, and interfaces (query models, result schemas, relevance and signals APIs) so that the core search capabilities can be swapped or extended to other search engines in the future (e.g., alternate cloud search services or self-hosted vector search) with minimal impact to client applications and user experience.
