Manager, Software Engineering

Responsibilities: Lead planning and execution of AI capability initiatives ensuring on-time, high-quality delivery Collaborate with Product and Architecture to translate customer needs and AI tech into scalable solutions Balance feature development with reliability, performance, cost, and operational excellence Identify risks, dependencies, and tradeoffs; communicate recommendations to leadership Set priorities and engineering practices to enable consistent delivery Guide architectural decisions and AI strategy with Principal/Staff Engineers Oversee AI evaluation, testing, and monitoring including regression testing Lead and develop engineering talent, fostering ownership and continuous improvement Drive cross-functional collaboration with Product, Design, and other AI teams Communicate progress, decisions, risks, and tradeoffs to stakeholders and leadership

Key requirements: 6+ years of professional software engineering experience 2+ years managing engineering teams Experience delivering production-grade AI or LLM-powered features in enterprise SaaS Strong understanding of LLMs, prompt engineering, RAG, latency, and cost considerations Familiarity with AI evaluation methodologies and retrieval systems Knowledge of AI agent architectures and Model Context Protocol (MCP) Strong foundation in distributed systems, microservices, and cloud-native architectures Experience with AWS or Azure and modern practices (CI/CD, containerization, observability) Working knowledge of C#/.NET or similar backend tech Proven ability to lead teams and manage competing priorities Strong communication and stakeholder management skills Bachelor's degree in Computer Science, Engineering, or a related field or equivalent experience Leadership and mentorship Cross-functional collaboration Strategic thinking and decision making LLMs and prompt engineering Retrieval-augmented generation (RAG) AI evaluation and benchmarking