Engineering Manager - AI Fleet Management & Honk

What You'll Do

• Lead and grow a team building AI-native backend systems that orchestrate large-scale, autonomous fleet changes
• Define the technical vision for integrating LLM-powered reasoning and agent-based execution into production infrastructure
• Architect systems where AI agents analyze service metadata, generate safe change plans, execute updates, and validate outcomes
• Establish safety boundaries, evaluation frameworks, and observability models for AI-driven automation at scale
• Drive responsible AI adoption by embedding governance, auditability, and human-in-the-loop safeguards into system design
• Balance rapid experimentation with platform reliability, ensuring intelligent automation meets production-grade standards
• Partner with product and go-to-market teams to position Portal and AI fleet management as a leading developer platform
• Build a team culture grounded in curiosity, technical rigor, and continuous learning in emerging AI systems

Who You Are

• You have 3+ years of experience leading engineering teams working on distributed systems or developer platforms at scale
• You have 5+ years of experience in backend engineering with strong expertise in Java, Python, and/or Node.js
• You have experience integrating AI/ML systems, LLMs, agent frameworks, or AI-assisted tooling into real-world systems
• You understand how autonomous systems make decisions and how to design guardrails that ensure safety, reliability, and traceability
• You think in systems, considering data flows, model behavior, orchestration layers, and operational impact
• You are comfortable leading in emerging technical domains where patterns are still forming
• You create inclusive environments where diverse perspectives strengthen technical and product decisions
• You communicate clearly across engineers, product leaders, and executives about both the opportunities and risks of AI-driven systems

Where You'll Be