Software Engineering Manager leading General Motors’ vehicle data platform across Android, Linux, and QNX. Owning ECU - to - cloud software delivery, architecture, reliability, and production operations.
About the role
- Engineering Manager leading engineers building Federato’s AI-native insurance platform. Guiding technical direction, scalable systems, and team growth across complex product initiatives.
Responsibilities
- Lead, mentor, and grow a high-performing engineering team, including hiring, performance management, career development, and technical mentorship
- Set technical direction and help define the team roadmap
- Translate ambiguous product and customer needs into clear engineering priorities and measurable outcomes
- Guide architecture and review critical design decisions
- Help build scalable, reliable, secure production systems
- Partner with Product, Design, Data Science, customer-facing teams, and engineering leadership on complex initiatives from idea through production
- Use AI-native development tools and workflows to increase engineering velocity while maintaining standards for correctness, security, reliability, and production readiness
Requirements
- 8+ years of software engineering experience, including meaningful experience building and operating production software systems
- 2+ years of experience managing or technically leading engineers
- Track record of hiring, developing, and retaining strong engineering talent
- Strong technical depth in distributed systems, APIs, cloud infrastructure, or modern web application development
- Ability to engage deeply in architectural and technical decisions
- Ability to lead large, ambiguous technical initiatives from strategy and architecture through execution and production
- Experience operating effectively in fast-paced, high-growth environments
- Strong cross-functional communication skills and ability to create alignment across Engineering, Product, Data Science, and other stakeholders
- Experience building AI-powered or AI-native products, particularly systems involving LLMs, agentic workflows, or intelligent automation (bonus)
- Experience using AI coding tools to accelerate software development while reviewing and validating generated code (bonus)
- Experience in an early-stage startup or as an early engineering hire (bonus)
- Experience in insurance, fintech, enterprise SaaS, or other complex, highly regulated domains (bonus)
Benefits
- Stock options
- Benefits
- Additional perks
- Reasonable accommodation for individuals with disabilities during application/interview, job performance, and receipt of employment benefits and privileges
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No Education Requirement
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