Manager, Software Engineering & Development

Position Summary

As a Software Engineering Manager, Enterprise AI Platform
, you will lead a team responsible for building, operating, and continuously improving production‑grade AI‑enabled software.

This role manages a cross‑functional engineering team that may include:

• Software Engineers
• SDETs
• Dev Ops Engineers
• Support Engineers

It is a hands‑on engineering leadership position where you stay close to the codebase, contribute to implementation, debugging, automation, and code reviews, and help the team move faster, remove blockers, and solve critical problems.

• Grow and develop engineering talent.
• Create a high‑performance team culture.
• Support delivery of Enterprise AI platform capabilities.
• Improve engineering practices across software development, testing, Dev Ops, support, and operations.
• Partner with product, architecture, AI, business, and technology leaders.
• Help the team move quickly while maintaining quality, security, reliability, and maintainability.
• Occasionally contribute hands‑on to implementation, debugging, automation, technical spikes, or code reviews when necessary.

We seek a manager who balances people leadership, technical judgment, and delivery execution.

• Strong software engineering background.
• Understanding of modern software team practices.
• Ability to coach engineers, SDETs, Dev Ops engineers, and support engineers.
• Technical engagement with the team’s codebase, architecture, workflow, and tooling.
• Knowledge of when to guide, delegate, and contribute hands‑on.
• Clarity in ambiguous environments.
• Translation of business and platform goals into team execution.
• Strong instincts around quality, automation, observability, reliability, and supportability.
• Comfortable working in a fast‑moving AI environment.
• Partnering skills with product owners, architects, data scientists, and senior leaders.
• Desire to grow into broader engineering leadership responsibility over time.

• 5+ years of professional software engineering or related technical experience.
• 2+ years of technical leadership, team leadership, people leadership, or engineering management experience.
• Experience leading, coaching, or mentoring software engineers or related technical team members.
• Willingness to stay technically engaged with the team’s codebase, architecture, workflow, and tooling.
• Strong understanding of modern software engineering practices, including clean code, source control, unit testing, CI/CD, design patterns, refactoring, maintainability, and production support.
• Experience working with software delivery teams that include Software Engineers, SDETs, Dev Ops Engineers, Support Engineers, and Quality Engineers.
• Experience supporting production software systems, including troubleshooting, incident response, root‑cause analysis, or operational improvement.
• Strong understanding of Agile delivery practices and modern engineering team workflows.
• Ability to coach associates through feedback, performance conversations, and career planning.
• Ability to create a high‑performance team environment built on ownership, accountability, trust, and continuous improvement.
• Strong communication skills with technical and non‑technical audiences.
• Strong problem‑solving, prioritization, and decision‑making skills.
• Ability to partner with product, architecture, operations, support, and business teams to drive successful outcomes.
• Experience participating in hiring, interviewing, and team growth activities.
• Bachelor’s degree in Computer Science, Information Systems, Business Information Systems, or equivalent practical experience.

• Managing or leading teams that build enterprise platforms, internal developer platforms, AI platforms, or shared services.
• Experience with AI‑enabled applications, LLM‑powered systems, RAG, chatbots, agent workflows, or AI‑assisted engineering practices.
• Familiarity with Azure, Azure AI Foundry, Azure Dev Ops, or related Microsoft cloud and engineering tools.
• Experience with engineering teams using AI‑powered development tools such as Cursor or Claude Code.
• Experience leading teams that use automated testing, SDET practices, Playwright, Python‑based test…