Let's begin! Software Engineering Manager (14871)

Skills and Competencies

• 3+ years leading or managing software engineers, including coaching and career development, with the ability to lead through influence rather than formal authority
• Strong backend or platform engineering background, still hands-on at the Tech Lead level, with the ability to be both highly technical and an effective people manager
• Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling)
• Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability, and incident response at scale
• Excellent communication skills, with the ability to build consensus and translate technical topics for engineers and executives alike
• Strong sense of ownership and humility, with a thoughtful perspective on humans and AI agents working on the same team — including what humans should and should not delegate
• Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization

Education

Responsibilities

• As a player-coach engineering leader in the Strategy and Innovation team, you will embed across high-priority projects, raise the technical bar across multiple squads, and develop engineers through credibility, influence, and hands-on delivery
• Embed in a high-priority project for four to six months at a time, guiding architectural decisions across AI-powered services, agent frameworks, and the Agentic software development lifecycle
• Coach and manage several engineers across squads, leading through influence and partnering with their product managers and tech leads
• Stay hands-on by diving into codebases, shipping production-grade changes, reviewing code at a high bar, and running incidents when needed
• Challenge technical decisions and help engineers think through complexity, shaping solutions rather than simply reviewing them
• Invest in engineers' growth through one-on-ones, coaching, feedback, and career development conversations
• Drive cross-team alignment and adoption of engineering best practices, including operational rigor and reliability standards
• Build trust with stakeholders through clear communication, sharing progress, surfacing risks early, and bringing people along on technical direction

About the Team