Manager, Software Engineering

Enlyte

39d•$118,000 - $140,000•Remote

About The Position

This is a full-time remote position that can be located anywhere in the U.S. We are seeking an enthusiastic technology-driven Software Engineering Manager to lead product development teams. The ideal candidate will primarily identify as an engineer, ready to engage in hands-on development and excel in a managerial role. This individual will blend technical expertise with strategic vision, mentoring team members, leading projects, and driving innovation within the organization.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related field. A master's degree is a plus.
A minimum of 7 years of experience in software development, with at least 1 year in a technical leadership or supervisory role
Strong technical understanding of the tools and technologies used in full-stack, cloud-native software development (C#, TypeScript, React, PostgreSQL/SQL Server, AWS)
Experience with test automation strategy and infrastructure, including modernizing legacy test suites and building CI/CD pipelines
Working knowledge of AI/ML concepts and cloud AI services — enough to lead technical teams, evaluate approaches, and make informed build-vs-buy decisions
Experience managing distributed or offshore engineering teams
A passion for technology and innovation, along with a commitment to product quality, operational excellence, and team growth
Exceptional leadership, communication, problem-solving, and project management skills
Ability to handle conflicts and manage people effectively
Strategic thinking, with the ability to align team's work with the company's goals
Adaptability, with an openness to change and the ability to lead a team through changes
Experience in the industry, with a good understanding of the development process, challenges, and best practices
Prioritizes ruthlessly — balances competing demands across multiple domains and keeps the team focused on what matters most
Modernizes, not just maintains — has led teams through legacy system or test infrastructure transformation, not just greenfield builds
Leads data scientists without being one — fluent enough in AI/ML to earn technical credibility, sharp enough on delivery to keep things shipping
Turns production pain into strategy — sees patterns in escalations and connects them back to test coverage gaps and product improvements
Builds systems, not heroics — instinct is to fix root causes and invest in automation and team capability over personal firefighting
Leads distributed teams effectively — sets clear expectations, builds trust across time zones, and creates accountability without micromanaging

Responsibilities

Supervise one or more teams of software engineers and data scientists in the design, development, testing, and operational support of software products
Manage and prioritize the technical backlog, maintaining oversight to ensure tasks are clearly defined, and seeing through to their satisfactory completion
Utilize technical knowledge to understand the team's work and provide effective guidance
Communicate effectively with team members, articulating goals, expectations, feedback, and directions clearly
Solve problems effectively, making key decisions under pressure and helping the team overcome obstacles
Manage team dynamics, handling conflicts, understanding each team member's strengths and weaknesses, and aiding in their professional growth
Align the team's work with the company's strategic goals, planning for both short-term and long-term objectives
Adapt to the evolving technological landscape, embracing new technologies and methodologies, and guiding the team through changes
Foster a positive work environment that promotes teamwork, creativity, and a commitment to quality