Principal Software Engineering Manager

Lead, inspire, and grow a diverse, inclusive, and high-performing engineering team, fostering an environment where individuals thrive and deliver their best work in an AI-driven world. Drive clarity, alignment, and execution across engineering teams and partner organizations by establishing a shared vision, clear priorities, and strong cross-functional collaboration. Define and communicate the technical and product strategy for the team, ensuring engineering investments align with customer needs, business outcomes, and long-term platform goals. Create accountability and operational excellence through well-defined goals, effective decision-making frameworks, and execution rhythms that enable predictable, high-quality delivery. Build a culture of ownership, innovation, inclusion, and continuous learning by setting high standards, providing regular feedback, and investing in team growth and development. Lead the adoption of AI‑Native Engineering by embedding AI‑first development practices, agentic workflows, and strong software engineering fundamentals across the software lifecycle to accelerate innovation, improve product quality, increase engineering productivity, and deliver greater customer impact. Foster a customer-obsessed mindset by leveraging customer insights and developer feedback to drive innovation and deliver meaningful platform improvements. Establish strong operational ownership through clear service accountability, live site excellence, proactive incident management, and continuous improvement practices. Coach and develop engineers and leaders through mentorship, career growth planning, and a growth mindset culture that enables both individual and team success. Anticipate risks, dependencies, and execution challenges, proactively removing blockers and driving cross-team alignment to ensure successful delivery against commitments. Attract, retain, and develop top engineering talent while building organizational capability and leadership depth within the team. Lead by example through hands-on technical engagement, architectural guidance, and sound engineering judgment while empowering teams to own execution and innovation. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 8+ years of experience as a software engineer building commercial software and proven track record of successful software products & services. 4+ years people management experience. 4+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures and micro-services, DevOps model. Demonstrated ability to harness next-generation AI development tools like GitHub Copilot, Copilot CLI/SDK, Claude CLI, or equivalents to transform the SDLC by building agents, plugins, skills, and MCP servers that drive automation and engineering excellence at scale.