Position Purpose:

As a Software Engineer Manager, you will be responsible for managing a team of functional configuration and software engineers that develops & manages software specifically for Warehouse Management Systems (WMS) and Warehouse Execution Systems (WES). This includes configuring Manhattan WMS, writing custom code to extend WMS, logic and execution related to automation including order streaming, goods-to-person, and task and labor optimization, ensuring effective integration between the two systems to enhance operational efficiency. You will have the opportunity to contribute to the products we create and help grow the next generation of engineering talent. In addition, you will be given the chance to work with our most strategic warehouse automation vendors to ensure that 3rd party tools and applications are readily available to all product teams that are interested in using them. 

Key Responsibilities:

30% Delivery & Execution:

Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutionsDocuments, reviews and ensures that all quality and change control standards are metWrites custom code or scripts to automate infrastructure, monitoring services, and test casesWorks with vendors and partners for the successful implementation of critical tooling and platformsCreates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactivelyContributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowermentEvaluates new technologies for adoption across the enterpriseParticipates in and leads review board sessions to drive consistency across the enterpriseFills in on product teams for engineers who are out of the officeExperience leveraging Agentic AI approaches to build autonomous workflows that improve warehouse efficiency, such as dynamic task allocation, order streaming, routing, and labor optimization. 

10% Support & Enablement:

Fields questions from engineers, product teams, or support teamsMonitors tools and participates in conversations to encourage collaboration across product teamsProvides application support for software running in productionActs as a technical escalation point for the engineers on the team

50% People:

Provides leadership, mentoring, and coaching to Software EngineersAttracts, retains, and develops top talent to build a world class Software Engineering TeamConducts annual and mid-year reviews by reviewing individual development plans and team feedbackFosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interestsActs as a proponent of modern software development practicesGuides team members in strategy, alignment, analysis, and execution tasks within and across product teamsParticipates in and contributes to learning activities around modern software design and development core practices (communities of practice)

10% Learning:

Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizationsBuilds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems

Direct Manager/Direct Reports:

Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.

Travel Requirements:

Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:

Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

Must be eighteen years of age or older.Must be legally permitted to work in the United States.Mastery of an object oriented programming language (preferably Java)Must be legally permitted to work in the United States

Preferred Qualifications:

5-7 years of relevant work experienceHas a deep understanding of warehousing and logistics and understands how their software impacts the performance and processes of the warehouse operations team. Deep experience in configuring Manhattan Associates WMOS (version 2019) and LMS. Experience in Warehouse Management Systems, leading teams to complete greenfield installations, upgrades, and enhancements for mechanized distribution centers. Experience developing custom software to extend WMS, sortation systems, merge systems, goods to person systems, order streaming/work release systems, and warehouse execution systems Experience applying Agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel) to orchestrate multi-step, autonomous workflows. Knowledge of reinforcement learning, planning algorithms, or autonomous agents for optimization in dynamic environments. Experience leading teams building AI copilots or autonomous task agents that improve engineering productivity or operational throughput. Mastery of a modern scripting language (preferably Python)Mastery of a modern web application framework such as Ruby on Rails, Spring MVC, and Node.jsMastery of writing SQL queries against a relational databaseMastery of modern product development processes and pipelinesProficient in effective troubleshooting and issue resolution techniquesProficient in effective system monitoring and log analysis techniquesCapable of understanding complicated systems quicklyExperience in guiding more junior team members through Software Engineering fundamentals in a professional settingExperience managing and growing team members in a professional settingExperience balancing workloads across teamsExperience managing vendor relationshipsExperience with translating high level strategy to tactical execution

Minimum Education:

The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

No additional education

Minimum Years of Work Experience:

5

Preferred Years of Work Experience:

No additional years of experience

Minimum Leadership Experience:

None

Preferred Leadership Experience:

None

Certifications:

None

Competencies:

Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needsBalances Stakeholders: Anticipating and balancing the needs of multiple stakeholdersBuilds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goalsBusiness Insight: Applying knowledge of business and the marketplace to advance the organization's goalsCollaborates: Building partnerships and working collaboratively with others to meet shared objectivesCommunicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesDevelops Talent: Developing people to meet both their career goals and the organization's goalsDrives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectivesDrives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to actionManages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clearOrganizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamicsSituational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situationsAI & Automation Mindset: Skilled at identifying opportunities to apply autonomous AI agents for process optimization, system reliability, and workforce enablement.