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, DevOps Engineers, and Support Engineers. This is a hands‑on engineering leadership role for someone who has strong software engineering experience, cares deeply about people development, and can help teams deliver practical AI‑powered solutions with speed, quality, and discipline. While this is a management role, the person in this position is expected to stay close to the codebase and technical workflow. When the situation calls for it, they may contribute directly to implementation, debugging, automation, technical spikes, or code reviews to help the team move faster, remove blockers, or solve critical problems. Responsibilities 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, DevOps, 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 the situation calls for it. What We’re Looking For We are looking for a manager who can balance people leadership, technical judgment, and delivery execution. Has a strong software engineering background. Understands how modern software teams build, test, deploy, and operate production systems. Can coach software engineers, SDETs, DevOps engineers, and support engineers. Stays technically engaged with the team’s codebase, architecture, development workflow, and operational tooling. Knows when to guide, when to delegate, and when to contribute hands‑on to help the team move forward. Knows how to create clarity in ambiguous environments. Can translate business and platform goals into team execution. Has strong instincts around quality, automation, observability, reliability, and supportability. Is comfortable working in a fast‑moving AI environment. Can partner well with product owners, architects, data scientists, business stakeholders, and senior leaders. Wants to grow into broader engineering leadership responsibility over time. Required Qualifications 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. Ability and willingness to stay technically engaged with the team’s codebase, architecture, development workflow, and operational tooling, including occasional hands‑on contribution when needed. 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 roles such as Software Engineers, SDETs, DevOps 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 develop associates through coaching, feedback, goal setting, performance conversations, and career development 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, candidate evaluation, or team growth activities. Bachelor’s degree in Computer Science, Computer Information Systems, Business Information Systems, a related technical field, or equivalent practical experience. Preferred Qualifications Experience with 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 DevOps, or related Microsoft cloud and engineering tools. Experience with engineering teams using AI‑powered development tools such as Cursor, Claude Code, or similar platforms. Experience leading teams that use automated testing, SDET practices, Playwright, Python‑based test automation, or end‑to‑end testing. Experience with DevOps practices, CI/CD pipelines, release automation, infrastructure automation, or cloud operations. Experience with observability tools such as New Relic, Langfuse, OpenTelemetry, Azure Log Analytics, or similar platforms. Experience managing geographically distributed teams. Experience improving production support models, incident management, operational readiness, or service reliability. Experience working with enterprise systems such as Salesforce, internal platforms, APIs, workflow systems, or service‑oriented architectures. Experience leading teams through ambiguity, rapid change, or emerging technology adoption. Experience building succession plans, development plans, hiring strategies, or team capability roadmaps. Interest in continuing to grow leadership responsibility. Success Looks Like You will be successful in this role if you: build a team that delivers high‑quality software consistently; develop engineers, SDETs, DevOps engineers, and support engineers into stronger technical contributors; create a culture of ownership, accountability, speed, and quality; stay technically close enough to guide decisions, unblock the team, and occasionally contribute hands‑on without becoming a bottleneck or displacing team ownership; help the team use AI‑assisted development tools without lowering engineering standards; improve how the team builds, tests, deploys, monitors, and supports software; partner effectively with product owners, architects, data scientists, business stakeholders, and senior leaders; create clarity when priorities are ambiguous or changing; raise the quality of engineering practices across the team; identify performance gaps early and address them directly and constructively; hire strong talent and help retain high‑performing associates; help the team connect day‑to‑day execution to broader Enterprise AI Platform goals; grow your own leadership scope, judgment, and organizational influence over time. Compensation and Benefits The national average salary range for this role is$160‑180k in base pay, exclusive of any bonuses and benefits.This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case‑by‑case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid‑Time‑Off, etc. For more information, please visit careers.ascensus.com/#Benefits. #J-18808-Ljbffr Ascensus