Engineering Manager overseeing the R&D team at WorkWhile. Leading product initiatives and engineering strategy in a hybrid work environment.
About the role
- Leading the design and delivery of AI solutions for GM, driving innovation and managing engineering teams across enterprise platforms.
Responsibilities
- Lead and Manage Teams: Oversee a team of software engineers, providing mentorship, career development, and performance management.
- AI Platform Development: Architect and implement AI solutions across VEQ using GLEAN and DBX Genie, ensuring scalability and compliance with enterprise standards.
- Data Platform Expertise: Collaborate with data engineering teams to design and optimize data pipelines, leveraging big data technologies such as Spark, DBX, and advanced SQL.
- Cloud Transformation: Lead migration and optimization of AI and data workloads to cloud platforms (Azure preferred), ensuring security and performance.
- CI/CD and DevOps: Implement advanced CI/CD pipelines using GitHub Actions, automated builds, and deployments.
- Cross-Functional Collaboration: Partner with product, data science, and infrastructure teams to deliver AI-driven features and solutions.
- Technical Governance: Ensure adherence to GM’s coding standards, security practices, and documentation requirements.
- Innovation and Strategy: Identify emerging AI technologies and integrate them into GM’s ecosystem to maintain competitive advantage.
Requirements
- Bachelor’s degree (or higher) in Computer Science, Engineering, or related field (or equivalent experience)
- 10+ years experience in software engineering with a strong full-stack background
- 5+ years experience in people management, leading engineering teams in complex environments
- Proven AI development experience building and deploying AI-enabled solutions on GLEAN and DBX Genie platforms (or closely related internal AI platforms), including prompt design, orchestration, integration, and evaluation
- Strong knowledge of cloud platforms (Azure preferred) and cloud-native architectures
- Experience with big data technologies (Spark) and advanced SQL
- Strong data platform experience, including:
- • Working with modern data platforms (e.g., data lakes DBX)
- • Designing and consuming data products, APIs, and pipelines for analytics and AI
- • Understanding of data governance, security, and data quality concepts
- Advanced CI/CD knowledge and pipeline development using GitHub Actions.
- Excellent communication and leadership skills
Benefits
- Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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